50k trained dql
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@ -23,7 +23,7 @@ EPSILON_DECAY = 0.9999
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MIN_EPSILON = 0.1
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# Stats settings
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AGGREGATE_STATS_EVERY = 10 # episodes
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AGGREGATE_STATS_EVERY = 200 # episodes
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ENV = GcEnv()
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2
main.py
2
main.py
@ -131,7 +131,7 @@ while RUNNING:
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else:
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if not MODEL:
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MODEL = load_model(os.path.join(
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'trained_models', 'Runs-30k-Step_limit-5000'))
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'trained_models', 'Runs-50k-Step_limit-5000'))
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RUN_Q = True
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GC.render()
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BIN
trained_models/Runs-50k-Step_limit-5000
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BIN
trained_models/Runs-50k-Step_limit-5000
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