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Add reinforcement learning

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This commit is contained in:
Kanewersa 2021-06-06 19:55:55 +02:00
parent 869dcbc124
commit deea62212c
35 changed files with 739 additions and 122 deletions
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58
survival/__init__.py
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@ -1,5 +1,3 @@
import random
import pygame
from settings import SCREEN_WIDTH, SCREEN_HEIGHT
@ -12,6 +10,31 @@ from survival.generators.resource_generator import ResourceGenerator
from survival.generators.world_generator import WorldGenerator
from survival.systems.draw_system import DrawSystem
class Game:
def __init__(self):
self.world_generator = WorldGenerator(win, self.reset)
self.game_map, self.world, self.camera = self.world_generator.create_world()
self.run = True
def reset(self):
self.world_generator.reset_world()
def update(self, ms):
events = pygame.event.get()
for event in events:
if event.type == pygame.QUIT:
self.run = False
if pygame.key.get_pressed()[pygame.K_DELETE]:
self.reset()
win.fill((0, 0, 0))
self.game_map.draw(self.camera)
self.world.process(ms)
pygame.display.update()
if __name__ == '__main__':
pygame.init()
@ -21,32 +44,7 @@ if __name__ == '__main__':
pygame.display.set_caption("AI Project")
clock = pygame.time.Clock()
game = Game()
game_map = GameMap(int(SCREEN_WIDTH / 32) * 2, 2 * int(SCREEN_HEIGHT / 32) + 1)
camera = Camera(game_map.width * 32, game_map.height * 32, win)
world = WorldGenerator().create_world(camera, game_map)
player = PlayerGenerator().create_player(world, game_map)
world.get_processor(DrawSystem).initialize_interface(world.component_for_entity(player, InventoryComponent))
building = BuildingGenerator().create_home(world, game_map)
ResourceGenerator(world, game_map).generate_resources(player)
run = True
while run:
# Set the framerate
ms = clock.tick(60)
events = pygame.event.get()
for event in events:
if event.type == pygame.QUIT:
run = False
keys = pygame.key.get_pressed()
win.fill((0, 0, 0))
game_map.draw(camera)
world.process(ms)
pygame.display.update()
while game.run:
game.update(clock.tick(60))

5
survival/components/consumption_component.py Normal file
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@ -0,0 +1,5 @@
class ConsumptionComponent:
def __init__(self, inventory_state=0):
self.timer_value: float = 2000
self.timer: float = self.timer_value
self.last_inventory_state = inventory_state

9
survival/components/inventory_component.py
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@ -19,3 +19,12 @@ class InventoryComponent:
def has_item(self, item):
return item in self.items and self.items[item] != 0
def total_items_count(self):
total = 0
for item, value in self.items.items():
total += value
return total
def clear(self):
self.items = {}

32
survival/components/learning_component.py Normal file
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@ -0,0 +1,32 @@
from survival.components.time_component import TimeComponent
class LearningComponent:
def __init__(self):
self.made_step = False
self.old_state = None
self.action = None
self.resource = None
self.reward = 0
self.done = False
self.score = 0
self.record = 0
def load_step(self, old_state, action, resource):
self.old_state = old_state
self.action = action
if resource is None:
self.resource = None
else:
self.resource = resource
self.made_step = True
def reset(self):
self.made_step = False
self.old_state = None
self.action = None
self.resource = None
self.reward = 0
self.done = False

3
survival/components/pathfinding_component.py
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@ -1,6 +1,5 @@
class PathfindingComponent:
def __init__(self, target_pos, searching_for_resource=False):
def __init__(self, target_pos):
self.target_grid_pos = (int(target_pos[0] / 32), int(target_pos[1] / 32))
self.searching_for_resource = False
self.current_target = None
self.path = None

14
survival/components/time_component.py
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@ -1,5 +1,5 @@
class TimeComponent:
def __init__(self, minute, hour, day, timer):
def __init__(self, minute=0, hour=0, day=0, timer=0):
self.minute = minute
self.hour = hour
self.day = day
@ -16,5 +16,17 @@ class TimeComponent:
self.hour = temp2
self.minute = temp
def total_minutes(self):
return self.minute + self.hour * 60 + self.day * 1440
def __str__(self):
return f'Day {self.day}, {self.hour}:{self.minute}'
def __eq__(self, other):
return self.total_minutes() == other.total_minutes()
def __gt__(self, other):
return self.total_minutes() > other.total_minutes()
def __lt__(self, other):
return self.total_minutes() < other.total_minutes()

34
survival/components/vision_component.py Normal file
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@ -0,0 +1,34 @@
from pygame import Surface
from survival.settings import AGENT_VISION_RANGE, SCREEN_WIDTH, SCREEN_HEIGHT
class VisionComponent:
def __init__(self):
self.agent_vision = AGENT_VISION_RANGE * 32 * 2
self.width = SCREEN_WIDTH * 2
self.height = SCREEN_HEIGHT * 2
self.surface_l = Surface(((self.width - self.agent_vision) / 2, self.height))
self.surface_r = Surface(((self.width - self.agent_vision) / 2, self.height))
self.surface_t = Surface((self.agent_vision, (self.height - self.agent_vision) / 2))
self.surface_b = Surface((self.agent_vision, (self.height - self.agent_vision) / 2))
self.surface_l.fill((0, 0, 0))
self.surface_l.set_alpha(200)
self.surface_r.fill((0, 0, 0))
self.surface_r.set_alpha(200)
self.surface_t.fill((0, 0, 0))
self.surface_t.set_alpha(200)
self.surface_b.fill((0, 0, 0))
self.surface_b.set_alpha(200)
self.l_pos = (0, 0)
self.r_pos = (0, 0)
self.t_pos = (0, 0)
self.b_pos = (0, 0)
def update_positions(self, position: [int, int]):
new_position = (position[0] - self.width / 2 + 16, position[1] - self.height / 2 + 16)
self.l_pos = new_position
self.r_pos = (new_position[0] + (self.width + self.agent_vision) / 2, new_position[1])
self.t_pos = (new_position[0] + (self.width - self.agent_vision) / 2, new_position[1])
self.b_pos = (new_position[0] + (self.width - self.agent_vision) / 2,
new_position[1] + (self.height + self.agent_vision) / 2)

2
survival/entity_layer.py
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@ -18,7 +18,7 @@ class EntityLayer:
def remove_entity(self, pos):
self.tiles[pos[1]][pos[0]] = None
def get_entity(self, pos) -> int:
def get_entity(self, pos):
return self.tiles[pos[1]][pos[0]]
def is_colliding(self, pos):

11
survival/esper.py
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@ -28,6 +28,9 @@ class Processor:
def process(self, *args, **kwargs):
raise NotImplementedError
def reset(self, *args, **kwargs):
pass
class World:
"""A World object keeps track of all Entities, Components, and Processors.
@ -46,6 +49,14 @@ class World:
self.process_times = {}
self._process = self._timed_process
@property
def processors(self):
return self._processors
@property
def entities(self):
return self._entities
def clear_cache(self) -> None:
self.get_component.cache_clear()
self.get_components.cache_clear()

52
survival/game_map.py
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@ -1,4 +1,9 @@
from survival.components.position_component import PositionComponent
from survival.components.resource_component import ResourceComponent
from survival.entity_layer import EntityLayer
from survival.esper import World
from survival.graph_search import graph_search
from survival.settings import AGENT_VISION_RANGE
from survival.tile_layer import TileLayer
@ -23,10 +28,55 @@ class GameMap:
self.entity_layer.remove_entity(pos)
def get_entity(self, pos) -> int:
if not self.in_bounds(pos):
return None
return self.entity_layer.get_entity(pos)
def is_colliding(self, pos):
return pos[0] < 0 or pos[0] >= self.width or pos[1] < 0 or pos[1] >= self.height or self.entity_layer.is_colliding(pos)
return not self.in_bounds(pos) or self.entity_layer.is_colliding(pos)
def in_bounds(self, pos):
return 0 <= pos[0] < self.width and 0 <= pos[1] < self.height
def get_cost(self, pos):
return self.tile_layer.get_cost(pos)
def find_nearby_resources(self, world: World, player: int, position: PositionComponent, search_range: int = 5):
entity_position = position.grid_position
x_range = [entity_position[0] - search_range, entity_position[0] + search_range]
y_range = [entity_position[1] - search_range, entity_position[1] + search_range]
# Check if range is not out of map bounds
if x_range[0] < 0:
x_range[0] = 0
if x_range[1] >= self.width:
x_range[1] = self.width - 1
if y_range[0] < 0:
y_range[0] = 0
if y_range[1] >= self.height:
y_range[1] = self.height - 1
found_resources = []
for y in range(y_range[0], y_range[1]):
for x in range(x_range[0], x_range[1]):
ent = self.get_entity([x, y])
if ent == player:
continue
if ent is not None and world.has_component(ent, ResourceComponent):
res_position = world.component_for_entity(ent, PositionComponent).grid_position
path, cost = graph_search(self, position, tuple(res_position), world)
found_resources.append([ent, path, cost])
return found_resources
def find_nearest_resource(self, world: World, player: int, position: PositionComponent):
resources = self.find_nearby_resources(world, player, position, AGENT_VISION_RANGE)
nearest = None
for resource in resources:
if nearest is None or resource[2] < nearest[2]:
nearest = resource
return nearest

22
survival/generators/player_generator.py
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@ -1,31 +1,41 @@
from survival.components.OnCollisionComponent import OnCollisionComponent
from survival.components.camera_target_component import CameraTargetComponent
from survival.components.consumption_component import ConsumptionComponent
from survival.components.input_component import InputComponent
from survival.components.inventory_component import InventoryComponent
from survival.components.learning_component import LearningComponent
from survival.components.movement_component import MovementComponent
from survival.components.position_component import PositionComponent
from survival.components.sprite_component import SpriteComponent
from survival.components.time_component import TimeComponent
from survival.systems.automation_system import AutomationComponent
from survival.components.vision_component import VisionComponent
from survival.generators.resource_type import ResourceType
from survival.settings import PLAYER_START_POSITION, STARTING_RESOURCES_AMOUNT
class PlayerGenerator:
def create_player(self, world, game_map):
player = world.create_entity()
pos = PositionComponent([0, 0], [0, 0])
pos = PositionComponent([PLAYER_START_POSITION[0] * 32, PLAYER_START_POSITION[1] * 32],
PLAYER_START_POSITION)
world.add_component(player, pos)
world.add_component(player, MovementComponent())
world.add_component(player, InputComponent())
world.add_component(player, OnCollisionComponent())
world.add_component(player, InventoryComponent())
inv = InventoryComponent()
for resource in ResourceType:
inv.add_item(resource, STARTING_RESOURCES_AMOUNT)
world.add_component(player, ConsumptionComponent(inv.total_items_count()))
world.add_component(player, inv)
camera_target = CameraTargetComponent(pos)
world.add_component(player, camera_target)
world.add_component(player, AutomationComponent())
# world.add_component(player, AutomationComponent())
game_map.add_entity(player, pos)
sprite = SpriteComponent('stevenson.png')
sprite.set_scale(1)
world.add_component(player, sprite)
world.add_component(player, TimeComponent(0, 0, 0, 0))
world.add_component(player, TimeComponent())
world.add_component(player, VisionComponent())
world.add_component(player, LearningComponent())
return player

29
survival/generators/resource_generator.py
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@ -3,23 +3,24 @@ import random
from survival import GameMap
from survival.components.OnCollisionComponent import OnCollisionComponent
from survival.components.inventory_component import InventoryComponent
from survival.components.learning_component import LearningComponent
from survival.components.position_component import PositionComponent
from survival.components.resource_component import ResourceComponent
from survival.components.sprite_component import SpriteComponent
from survival.decision_tree import DecisionTree
from survival.esper import World
from survival.generators.resource_type import ResourceType
from survival.settings import RESOURCES_AMOUNT
from survival.settings import RESOURCES_AMOUNT, PLAYER_START_POSITION
class ResourceGenerator:
resources_amount = 0
def __init__(self, world, game_map):
self.world = world
self.map = game_map
self.decision_tree = DecisionTree()
self.built_tree = self.decision_tree.build(10)
def generate_resources(self, player: int):
ResourceGenerator.resources_amount = RESOURCES_AMOUNT
for x in range(RESOURCES_AMOUNT):
obj = self.world.create_entity()
sprites = {
@ -34,7 +35,7 @@ class ResourceGenerator:
resource_type = random.choice(list(ResourceType))
sprite = SpriteComponent(sprites[resource_type])
col = OnCollisionComponent()
col.addCallback(self.remove_resource, world=self.world, game_map=self.map, resource_ent=obj, player=player, decision_tree=self.decision_tree)
col.addCallback(self.remove_resource, world=self.world, game_map=self.map, resource_ent=obj, player=player)
self.world.add_component(obj, pos)
self.world.add_component(obj, sprite)
self.world.add_component(obj, col)
@ -43,17 +44,25 @@ class ResourceGenerator:
def get_empty_grid_position(self):
free_pos = [random.randrange(self.map.width), random.randrange(self.map.height)]
while self.map.is_colliding(free_pos):
while self.map.is_colliding(free_pos) or (
free_pos[0] == PLAYER_START_POSITION[0] and free_pos[1] == PLAYER_START_POSITION[1]):
free_pos = [random.randrange(self.map.width), random.randrange(self.map.height)]
return free_pos
@staticmethod
def remove_resource(world: World, game_map: GameMap, resource_ent: int, player: int, decision_tree: DecisionTree):
def remove_resource(world: World, game_map: GameMap, resource_ent: int, player: int):
pos = world.component_for_entity(resource_ent, PositionComponent)
resource = world.component_for_entity(resource_ent, ResourceComponent)
inventory = world.component_for_entity(player, InventoryComponent)
answer = decision_tree.predict_answer(resource)
# print(answer)
inventory.add_item(ResourceType.get_from_string(answer), 1)
inventory.add_item(resource.resource_type, 1)
game_map.remove_entity(pos.grid_position)
world.delete_entity(resource_ent, immediate=True)
if world.has_component(player, LearningComponent):
learning = world.component_for_entity(player, LearningComponent)
learning.reward = 10
learning.score += 1
ResourceGenerator.resources_amount -= 1
if ResourceGenerator.resources_amount == 0:
learning.reward += 50
learning.done = True

109
survival/generators/world_generator.py
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@ -1,29 +1,106 @@
from survival import esper
from survival import esper, PlayerGenerator, ResourceGenerator, SCREEN_WIDTH, SCREEN_HEIGHT, GameMap, \
Camera
from survival.components.consumption_component import ConsumptionComponent
from survival.components.direction_component import DirectionChangeComponent
from survival.components.inventory_component import InventoryComponent
from survival.components.learning_component import LearningComponent
from survival.components.moving_component import MovingComponent
from survival.components.pathfinding_component import PathfindingComponent
from survival.components.position_component import PositionComponent
from survival.components.resource_component import ResourceComponent
from survival.components.time_component import TimeComponent
from survival.esper import World
from survival.generators.resource_type import ResourceType
from survival.settings import PLAYER_START_POSITION, STARTING_RESOURCES_AMOUNT
from survival.systems.automation_system import AutomationSystem
from survival.systems.camera_system import CameraSystem
from survival.systems.collection_system import ResourceCollectionSystem
from survival.systems.collision_system import CollisionSystem
from survival.systems.consumption_system import ConsumptionSystem
from survival.systems.direction_system import DirectionSystem
from survival.systems.draw_system import DrawSystem
from survival.systems.input_system import InputSystem
from survival.systems.movement_system import MovementSystem
from survival.systems.pathfinding_movement_system import PathfindingMovementSystem
from survival.systems.neural_system import NeuralSystem
from survival.systems.time_system import TimeSystem
from survival.systems.vision_system import VisionSystem
class WorldGenerator:
def __init__(self, win, callback):
self.win = win
self.callback = callback
self.world: World = esper.World()
self.game_map: GameMap = GameMap(int(SCREEN_WIDTH / 32) * 2, 2 * int(SCREEN_HEIGHT / 32) + 1)
self.camera = Camera(self.game_map.width * 32, self.game_map.height * 32, self.win)
self.resource_generator: ResourceGenerator = ResourceGenerator(self.world, self.game_map)
self.player: int = -1
def create_world(self, camera, game_map):
world = esper.World()
world.add_processor(InputSystem(camera, game_map))
world.add_processor(CameraSystem(camera))
world.add_processor(MovementSystem(game_map), priority=2)
world.add_processor(CollisionSystem(game_map), priority=3)
world.add_processor(DrawSystem(camera))
world.add_processor(ResourceCollectionSystem(), priority=1)
world.add_processor(TimeSystem())
world.add_processor(AutomationSystem(game_map))
world.add_processor(PathfindingMovementSystem(game_map), priority=4)
world.add_processor(DirectionSystem())
def create_world(self):
self.world.add_processor(InputSystem(self.camera, self.game_map))
self.world.add_processor(CameraSystem(self.camera))
self.world.add_processor(MovementSystem(self.game_map), priority=20)
self.world.add_processor(CollisionSystem(self.game_map), priority=30)
self.world.add_processor(NeuralSystem(self.game_map, self.callback), priority=50)
self.world.add_processor(DrawSystem(self.camera))
self.world.add_processor(TimeSystem())
self.world.add_processor(AutomationSystem(self.game_map))
# self.world.add_processor(PathfindingMovementSystem(self.game_map), priority=40)
self.world.add_processor(DirectionSystem())
self.world.add_processor(ConsumptionSystem(self.callback))
self.world.add_processor(VisionSystem(self.camera))
return world
self.player = PlayerGenerator().create_player(self.world, self.game_map)
self.world.get_processor(DrawSystem).initialize_interface(
self.world.component_for_entity(self.player, InventoryComponent))
# BuildingGenerator().create_home(self.world, self.game_map)
self.resource_generator.generate_resources(self.player)
return self.game_map, self.world, self.camera
def reset_world(self):
for processor in self.world.processors:
processor.reset()
self.reset_player()
self.reset_resources()
def reset_resources(self):
for entity in self.world.entities:
if self.world.has_component(entity, ResourceComponent):
self.game_map.remove_entity(self.world.component_for_entity(entity, PositionComponent).grid_position)
self.world.delete_entity(entity)
continue
self.resource_generator.generate_resources(self.player)
def reset_player(self):
self.world.remove_component(self.player, TimeComponent)
self.world.add_component(self.player, TimeComponent())
inv = self.world.component_for_entity(self.player, InventoryComponent)
inv.clear()
for resource in ResourceType:
inv.add_item(resource, STARTING_RESOURCES_AMOUNT)
if self.world.has_component(self.player, ConsumptionComponent):
self.world.remove_component(self.player, ConsumptionComponent)
self.world.add_component(self.player, ConsumptionComponent(inv.total_items_count()))
pos = self.world.component_for_entity(self.player, PositionComponent)
old_pos = pos.grid_position
self.world.remove_component(self.player, PositionComponent)
self.world.add_component(self.player,
PositionComponent([PLAYER_START_POSITION[0] * 32, PLAYER_START_POSITION[1] * 32],
PLAYER_START_POSITION))
self.game_map.move_entity(old_pos, pos.grid_position)
if self.world.has_component(self.player, MovingComponent):
self.world.remove_component(self.player, MovingComponent)
if self.world.has_component(self.player, DirectionChangeComponent):
self.world.remove_component(self.player, DirectionChangeComponent)
if self.world.has_component(self.player, PathfindingComponent):
self.world.remove_component(self.player, PathfindingComponent)
if self.world.has_component(self.player, LearningComponent):
learning = self.world.component_for_entity(self.player, LearningComponent)
learning.reset()

40
survival/graph_search.py
View File

@ -2,7 +2,8 @@ from enum import Enum
from queue import PriorityQueue
from typing import Tuple, List
from survival import GameMap
from survival.components.direction_component import DirectionChangeComponent
from survival.components.moving_component import MovingComponent
from survival.components.position_component import PositionComponent
from survival.components.resource_component import ResourceComponent
from survival.enums import Direction
@ -14,6 +15,33 @@ class Action(Enum):
ROTATE_RIGHT = 1
MOVE = 2
@staticmethod
def from_array(action):
if action[0] == 1:
return Action.MOVE
if action[1] == 1:
return Action.ROTATE_LEFT
if action[2] == 1:
return Action.ROTATE_RIGHT
raise Exception("Unknown action.")
@staticmethod
def perform(world, entity, action):
if world.has_component(entity, MovingComponent):
raise Exception(f"Entity was already moving. Could not perform action: {action}")
if world.has_component(entity, DirectionChangeComponent):
raise Exception(f"Entity was already rotating. Could not perform action: {action}")
if action == Action.ROTATE_LEFT:
world.add_component(entity, DirectionChangeComponent(
Direction.rotate_left(world.component_for_entity(entity, PositionComponent).direction)))
elif action == Action.ROTATE_RIGHT:
world.add_component(entity, DirectionChangeComponent(
Direction.rotate_right(world.component_for_entity(entity, PositionComponent).direction)))
else:
world.add_component(entity, MovingComponent())
return action
class State:
def __init__(self, position: Tuple[int, int], direction: Direction):
@ -40,7 +68,7 @@ def get_moved_position(position: Tuple[int, int], direction: Direction):
return position[0] + vector[0], position[1] + vector[1]
def get_states(state: State, game_map: GameMap, world: World) -> List[Tuple[Action, State, int]]:
def get_states(state: State, game_map, world: World) -> List[Tuple[Action, State, int]]:
states = list()
states.append((Action.ROTATE_LEFT, State(state.position, state.direction.rotate_left(state.direction)), 1))
@ -58,23 +86,25 @@ def get_states(state: State, game_map: GameMap, world: World) -> List[Tuple[Acti
def build_path(node: Node):
cost = 0
actions = [node.action]
parent = node.parent
while parent is not None:
if parent.action is not None:
actions.append(parent.action)
cost += parent.cost
parent = parent.parent
actions.reverse()
return actions
return actions, cost
def heuristic(new_node: Node, goal: Tuple[int, int]):
return abs(new_node.state.position[0] - goal[0]) + abs(new_node.state.position[1] - goal[1])
def graph_search(game_map: GameMap, start: PositionComponent, goal: tuple, world: World):
def graph_search(game_map, start: PositionComponent, goal: tuple, world: World):
fringe = PriorityQueue()
explored = list()
@ -88,7 +118,7 @@ def graph_search(game_map: GameMap, start: PositionComponent, goal: tuple, world
while True:
# No solutions found
if fringe.empty():
return []
return [], 0
node = fringe.get()
node_priority = node[0]

5
survival/image.py
View File

@ -4,8 +4,11 @@ import pygame
class Image:
def __init__(self, filename, pos=(0, 0), scale=1):
def __init__(self, filename='', pos=(0, 0), scale=1, surface=None):
if surface is None:
self.texture = pygame.image.load(os.path.join('..', 'assets', filename)).convert_alpha()
else:
self.texture = surface
self.image = self.texture
self.origin = (0, 0)
self.pos = pos

112
survival/learning_utils.py Normal file
View File

@ -0,0 +1,112 @@
import numpy as np
from IPython import display
from matplotlib import pyplot as plt
from survival.components.learning_component import LearningComponent
from survival.components.position_component import PositionComponent
from survival.enums import Direction
from survival.graph_search import Action
class LearningUtils:
def __init__(self):
self.plot_scores = []
self.plot_mean_scores = []
self.total_score = 0
self.last_actions: [Action, [int, int]] = []
def add_scores(self, learning: LearningComponent, games_count: int):
self.plot_scores.append(learning.score)
self.total_score += learning.score
mean_score = self.total_score / games_count
self.plot_mean_scores.append(mean_score)
def plot(self):
display.clear_output(wait=True)
display.display(plt.gcf())
plt.clf()
plt.title('Training...')
plt.xlabel('Number of Games')
plt.ylabel('Score')
plt.plot(self.plot_scores)
# plt.plot(self.plot_mean_scores)
plt.ylim(ymin=0)
plt.text(len(self.plot_scores) - 1, self.plot_scores[-1], str(self.plot_scores[-1]))
# plt.text(len(self.plot_mean_scores) - 1, self.plot_mean_scores[-1], str(self.plot_mean_scores[-1]))
plt.show(block=False)
plt.pause(.1)
def append_action(self, action: Action, pos: PositionComponent):
self.last_actions.append([action, pos.grid_position])
def check_last_actions(self, learning):
"""
Checks if all the last five actions were repeated and imposes the potential penalty.
:param learning:
"""
if len(self.last_actions) > 5:
self.last_actions.pop(0)
last_action: [Action, [int, int]] = self.last_actions[0]
last_grid_pos: [int, int] = last_action[1]
rotations = 0
collisions = 0
for action in self.last_actions:
if action != Action.MOVE:
rotations += 1
else:
current_grid_pos = action[1]
if current_grid_pos[0] == last_grid_pos[0] and current_grid_pos[1] == last_grid_pos[1]:
collisions += 1
if rotations > 4 or collisions > 4:
learning.reward -= 2
def get_state(system, player, resource):
pos: PositionComponent = system.world.component_for_entity(player, PositionComponent)
if resource is None or resource[0] is None:
res_l = False
res_r = False
res_u = False
res_d = False
else:
resource_pos: PositionComponent = system.world.component_for_entity(resource[0], PositionComponent)
res_l = resource_pos.grid_position[0] < pos.grid_position[0]
res_r = resource_pos.grid_position[0] > pos.grid_position[0]
res_u = resource_pos.grid_position[1] < pos.grid_position[1]
res_d = resource_pos.grid_position[1] > pos.grid_position[1]
dir_l = pos.direction == Direction.LEFT
dir_r = pos.direction == Direction.RIGHT
dir_u = pos.direction == Direction.UP
dir_d = pos.direction == Direction.DOWN
pos_l = [pos.grid_position[0] - 1, pos.grid_position[1]]
pos_r = [pos.grid_position[0] + 1, pos.grid_position[1]]
pos_u = [pos.grid_position[0], pos.grid_position[1] - 1]
pos_d = [pos.grid_position[0], pos.grid_position[1] + 1]
col_l = system.game_map.in_bounds(
pos_l) # self.game_map.is_colliding(pos_l) and self.game_map.get_entity(pos_l) is None
col_r = system.game_map.in_bounds(
pos_r) # self.game_map.is_colliding(pos_r) and self.game_map.get_entity(pos_r) is None
col_u = system.game_map.in_bounds(
pos_u) # self.game_map.is_colliding(pos_u) and self.game_map.get_entity(pos_u) is None
col_d = system.game_map.in_bounds(
pos_d) # self.game_map.is_colliding(pos_d) and self.game_map.get_entity(pos_d) is None
state = [
# Collision ahead
(dir_r and col_r) or (dir_l and col_l) or (dir_u and col_u) or (dir_d and col_d),
# Collision on the right
(dir_u and col_r) or (dir_r and col_d) or (dir_d and col_l) or (dir_l and col_u),
# Collision on the left
(dir_u and col_l) or (dir_l and col_d) or (dir_d and col_r) or (dir_r and col_u),
# Movement direction
dir_l, dir_r, dir_u, dir_d,
# Resource location
res_l, res_r, res_u, res_d
]
return np.array(state, dtype=int)

78
survival/model.py Normal file
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@ -0,0 +1,78 @@
import os
import torch
from torch import nn, optim
import torch.nn.functional as functional
class LinearQNetwork(nn.Module):
def __init__(self, input_size, hidden_size, output_size, pretrained=False):
super().__init__()
self.linear_one = nn.Linear(input_size, hidden_size)
self.linear_two = nn.Linear(hidden_size, output_size)
self.pretrained = pretrained
def forward(self, x):
x = functional.relu(self.linear_one(x))
x = self.linear_two(x)
return x
def save(self, file_name='model.pth'):
model_directory = 'model'
if not os.path.exists(model_directory):
os.makedirs(model_directory)
file_path = os.path.join(model_directory, file_name)
torch.save(self.state_dict(), file_path)
@staticmethod
def load(input_size, hidden_size, output_size, file_name='model.pth'):
model_directory = 'model'
file_path = os.path.join(model_directory, file_name)
if os.path.isfile(file_path):
model = LinearQNetwork(input_size, hidden_size, output_size, True)
model.load_state_dict(torch.load(file_path))
model.eval()
return model
return LinearQNetwork(11, 256, 3)
class QTrainer:
def __init__(self, model, lr, gamma):
self.model = model
self.lr = lr
self.gamma = gamma
self.optimizer = optim.Adam(model.parameters(), lr=self.lr)
self.criterion = nn.MSELoss() # Mean squared error
def train_step(self, state, action, reward, next_state, done):
state = torch.tensor(state, dtype=torch.float)
next_state = torch.tensor(next_state, dtype=torch.float)
action = torch.tensor(action, dtype=torch.long)
reward = torch.tensor(reward, dtype=torch.float)
if len(state.shape) == 1:
# reshape the state to make its values an (n, x) tuple
state = torch.unsqueeze(state, 0)
next_state = torch.unsqueeze(next_state, 0)
action = torch.unsqueeze(action, 0)
reward = torch.unsqueeze(reward, 0)
done = (done,)
# Prediction based on simplified Bellman's equation
# Predict Q values for current state
prediction = self.model(state)
target = prediction.clone()
for idx in range(len(done)):
Q = reward[idx]
if not done[idx]:
Q = reward[idx] + self.gamma * torch.max(self.model(next_state[idx]))
# set the target of the maximum value of the action to Q
target[idx][torch.argmax(action).item()] = Q
# Apply the loss function
self.optimizer.zero_grad()
loss = self.criterion(target, prediction)
loss.backward()
self.optimizer.step()

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7
survival/settings.py
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@ -1,4 +1,7 @@
SCREEN_WIDTH = 1000
SCREEN_HEIGHT = 600
RESOURCES_AMOUNT = 300
DIRECTION_CHANGE_DELAY = 200
RESOURCES_AMOUNT = 100
DIRECTION_CHANGE_DELAY = 5
PLAYER_START_POSITION = [20, 10]
STARTING_RESOURCES_AMOUNT = 10
AGENT_VISION_RANGE = 5

2
survival/systems/automation_system.py
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@ -7,6 +7,8 @@ from survival.components.resource_component import ResourceComponent
class AutomationComponent:
pass
# def __init__(self):
# self.resources = []
class AutomationSystem(esper.Processor):

20
survival/systems/collection_system.py
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@ -1,20 +0,0 @@
from survival import esper
from survival.components.direction_component import DirectionChangeComponent
from survival.components.moving_component import MovingComponent
from survival.components.position_component import PositionComponent
from survival.graph_search import Action
from survival.systems.pathfinding_movement_system import CollectingResourceComponent
class ResourceCollectionSystem(esper.Processor):
def __init__(self):
pass
def process(self, dt):
for ent, (collect, pos) in self.world.get_components(CollectingResourceComponent, PositionComponent):
if self.world.has_component(ent, MovingComponent) or self.world.has_component(ent, DirectionChangeComponent):
continue
if collect.action == Action.MOVE:
self.world.remove_component(ent, CollectingResourceComponent)
self.world.add_component(ent, MovingComponent())

2
survival/systems/collision_system.py
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@ -4,6 +4,7 @@ from survival import esper
from survival.components.OnCollisionComponent import OnCollisionComponent
from survival.components.moving_component import MovingComponent
from survival.components.position_component import PositionComponent
from survival.components.learning_component import LearningComponent
from survival.enums import Direction
@ -18,7 +19,6 @@ class CollisionSystem(esper.Processor):
continue
moving.checked_collision = True
vector = Direction.get_vector(pos.direction)
moving.target = tuple(map(operator.add, vector, pos.grid_position))
moving.direction_vector = vector

30
survival/systems/consumption_system.py Normal file
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@ -0,0 +1,30 @@
from survival import esper
from survival.components.consumption_component import ConsumptionComponent
from survival.components.inventory_component import InventoryComponent
from survival.components.learning_component import LearningComponent
from survival.generators.resource_type import ResourceType
class ConsumptionSystem(esper.Processor):
def __init__(self, callback):
self.callback = callback
def process(self, dt):
for ent, (cons, inventory) in self.world.get_components(ConsumptionComponent, InventoryComponent):
cons.timer -= dt
if cons.timer > 0:
continue
cons.timer = cons.timer_value
if self.world.has_component(ent, LearningComponent):
# If no item was picked up
if cons.last_inventory_state == inventory.total_items_count():
learning: LearningComponent = self.world.component_for_entity(ent, LearningComponent)
learning.reward = -10
learning.done = True
cons.last_inventory_state = inventory.total_items_count()
else:
if inventory.has_item(ResourceType.FOOD):
inventory.remove_item(ResourceType.FOOD, 1)
else:
self.callback()

4
survival/systems/draw_system.py
View File

@ -7,10 +7,10 @@ from survival.user_interface import UserInterface
class DrawSystem(esper.Processor):
def __init__(self, camera):
self.camera = camera
self.ui = None
self.ui = UserInterface(self.camera.window)
def initialize_interface(self, inventory):
self.ui = UserInterface(self.camera.window, inventory)
self.ui.load_inventory(inventory)
def process(self, dt):
for ent, (sprite, pos) in self.world.get_components(SpriteComponent, PositionComponent):

2
survival/systems/input_system.py
View File

@ -24,7 +24,7 @@ class InputSystem(esper.Processor):
if not self.world.has_component(ent, PathfindingComponent):
target_ent = self.game_map.get_entity([int(pos[0] / 32), int(pos[1]/ 32)])
if target_ent is not None and self.world.has_component(target_ent, ResourceComponent):
self.world.add_component(ent, PathfindingComponent(pos, True))
self.world.add_component(ent, PathfindingComponent(pos))
else:
self.world.add_component(ent, PathfindingComponent(pos))

14
survival/systems/movement_system.py
View File

@ -13,11 +13,13 @@ class MovementSystem(esper.Processor):
for ent, (mov, pos, moving, sprite) in self.world.get_components(MovementComponent, PositionComponent,
MovingComponent,
SpriteComponent):
cost = self.map.get_cost(moving.target)
pos.position[0] += moving.direction_vector[0] * mov.speed * dt / 100 / cost
pos.position[1] += moving.direction_vector[1] * mov.speed * dt / 100 / cost
if abs(moving.target[0] * 32 - pos.position[0]) < 0.1 * mov.speed and abs(
pos.position[1] - moving.target[1] * 32) < 0.1 * mov.speed:
# cost = self.map.get_cost(moving.target)
# pos.position[0] += moving.direction_vector[0] * mov.speed * dt / 100 / cost
# pos.position[1] += moving.direction_vector[1] * mov.speed * dt / 100 / cost
#
# if abs(moving.target[0] * 32 - pos.position[0]) < 1 * mov.speed and abs(
# pos.position[1] - moving.target[1] * 32) < 1 * mov.speed:
# pos.position = [moving.target[0] * 32, moving.target[1] * 32]
# self.world.remove_component(ent, MovingComponent)
pos.position = [moving.target[0] * 32, moving.target[1] * 32]
self.world.remove_component(ent, MovingComponent)

120
survival/systems/neural_system.py Normal file
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@ -0,0 +1,120 @@
import random
from collections import deque
import torch
from survival import esper, GameMap
from survival.components.direction_component import DirectionChangeComponent
from survival.components.inventory_component import InventoryComponent
from survival.components.moving_component import MovingComponent
from survival.components.position_component import PositionComponent
from survival.components.learning_component import LearningComponent
from survival.components.time_component import TimeComponent
from survival.graph_search import Action
from survival.learning_utils import get_state, LearningUtils
from survival.model import LinearQNetwork, QTrainer
MAX_MEMORY = 100_000
BATCH_SIZE = 1000
LR = 0.001
LEARN = True
class NeuralSystem(esper.Processor):
def __init__(self, game_map: GameMap, callback):
self.game_map = game_map
self.reset_game = callback
self.n_games = 0 # number of games played
self.starting_epsilon = 100
self.epsilon = 0 # controlls the randomness
self.gamma = 0.9 # discount rate
self.memory = deque(maxlen=MAX_MEMORY) # exceeding memory removes the left elements to make more space
self.model = LinearQNetwork.load(11, 256, 3)
if self.model.pretrained:
self.starting_epsilon = -1
self.trainer = QTrainer(self.model, lr=LR, gamma=self.gamma)
self.utils = LearningUtils()
def remember(self, state, action, reward, next_state, done):
self.memory.append((state, action, reward, next_state, done))
def train_short_memory(self, state, action, reward, next_state, done):
self.trainer.train_step(state, action, reward, next_state, done)
def train_long_memory(self):
if len(self.memory) > BATCH_SIZE:
mini_sample = random.sample(self.memory, BATCH_SIZE)
else:
mini_sample = self.memory
states, actions, rewards, next_states, dones = zip(*mini_sample)
self.trainer.train_step(states, actions, rewards, next_states, dones)
def get_action(self, state):
self.epsilon = self.starting_epsilon - self.n_games
final_move = [0, 0, 0]
if random.randint(0, 200) < self.epsilon:
move = random.randint(0, 2)
final_move[move] = 1
else:
state_zero = torch.tensor(state, dtype=torch.float)
prediction = self.model(state_zero)
move = torch.argmax(prediction).item()
final_move[move] = 1
return final_move
def process(self, dt):
for ent, (pos, inventory, time, learning) in self.world.get_components(PositionComponent, InventoryComponent,
TimeComponent, LearningComponent):
if not learning.made_step:
learning.reset()
# Get the closest resource | [entity, path, cost]
resource: [int, list, int] = self.game_map.find_nearest_resource(self.world, ent, pos)
# Get current entity state
old_state = get_state(self, ent, resource)
# Predict the action
action = self.get_action(old_state)
# Save the action
learning.load_step(old_state, action, resource)
# Perform the action
act = Action.perform(self.world, ent, Action.from_array(action))
self.utils.append_action(act, pos)
continue
# Wait for the action to complete
if self.world.has_component(ent, DirectionChangeComponent) or self.world.has_component(ent,
MovingComponent):
continue
self.utils.check_last_actions(learning)
resource = learning.resource
if resource is None or not self.world.entity_exists(resource[0]):
# Find a new resource if no resource was found or the last one was consumed
resource = self.game_map.find_nearest_resource(self.world, ent, pos)
# Get new state
new_state = get_state(self, ent, resource)
# Train agent's memory
self.train_short_memory(learning.old_state, learning.action, learning.reward, new_state, learning.done)
self.remember(learning.old_state, learning.action, learning.reward, new_state, learning.done)
learning.made_step = False
if learning.done:
self.n_games += 1
if LEARN:
self.train_long_memory()
if learning.score > learning.record:
learning.record = learning.score
if LEARN:
self.model.save()
print('Game', self.n_games, 'Score', learning.score, 'Record', learning.record)
self.utils.add_scores(learning, self.n_games)
learning.score = 0
self.utils.plot()
self.reset_game()

12
survival/systems/pathfinding_movement_system.py
View File

@ -8,11 +8,6 @@ from survival.graph_search import graph_search, Action
from survival.systems.input_system import PathfindingComponent
class CollectingResourceComponent:
def __init__(self, action):
self.action = action
class PathfindingMovementSystem(esper.Processor):
def __init__(self, game_map):
self.game_map = game_map
@ -21,17 +16,12 @@ class PathfindingMovementSystem(esper.Processor):
for ent, (pos, pathfinding, movement) in self.world.get_components(PositionComponent, PathfindingComponent,
MovementComponent):
if pathfinding.path is None:
pathfinding.path = graph_search(self.game_map, pos, pathfinding.target_grid_pos, self.world)
pathfinding.path, cost = graph_search(self.game_map, pos, pathfinding.target_grid_pos, self.world)
if len(pathfinding.path) < 1:
self.world.remove_component(ent, PathfindingComponent)
continue
if pathfinding.searching_for_resource and len(pathfinding.path) == 1:
self.world.add_component(ent, CollectingResourceComponent(pathfinding.path.pop(0)))
self.world.remove_component(ent, PathfindingComponent)
continue
if self.world.has_component(ent, MovingComponent) or self.world.has_component(ent, DirectionChangeComponent):
continue

18
survival/systems/vision_system.py Normal file
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@ -0,0 +1,18 @@
from survival import esper
from survival.components.position_component import PositionComponent
from survival.components.vision_component import VisionComponent
class VisionSystem(esper.Processor):
def __init__(self, camera):
self.camera = camera
def process(self, dt):
pos: PositionComponent
vision: VisionComponent
for ent, (pos, vision) in self.world.get_components(PositionComponent, VisionComponent):
vision.update_positions(pos.position)
self.camera.window.blit(vision.surface_l, self.camera.apply(vision.l_pos))
self.camera.window.blit(vision.surface_r, self.camera.apply(vision.r_pos))
self.camera.window.blit(vision.surface_t, self.camera.apply(vision.t_pos))
self.camera.window.blit(vision.surface_b, self.camera.apply(vision.b_pos))

7
survival/user_interface.py
View File

@ -7,13 +7,13 @@ from survival.image import Image
class UserInterface:
def __init__(self, window, inventory: InventoryComponent):
def __init__(self, window):
self.width = settings.SCREEN_WIDTH
self.height = settings.SCREEN_HEIGHT
self.window = window
self.pos = (self.width - 240, 50)
self.scale = 2
self.inventory = inventory
self.inventory: InventoryComponent = None
self.images = {
ResourceType.FOOD: Image('apple.png', self.pos, self.scale),
ResourceType.WATER: Image('water.png', self.pos, self.scale),
@ -26,6 +26,9 @@ class UserInterface:
self.slot_image = Image('ui.png', self.pos, scale=2)
self.font = pygame.font.SysFont('Comic Sans MS', 20)
def load_inventory(self, inventory: InventoryComponent):
self.inventory = inventory
def update(self):
pass