Fixed a bug with KL-proj
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7
test.py
7
test.py
@ -27,9 +27,10 @@ def main(env_name='ColumbusCandyland_Aux10-v0', timesteps=1_000_000, showRes=Tru
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ppo = PPO(
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MlpPolicyPPO,
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env,
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projection=BaseProjectionLayer(), # KLProjectionLayer(trust_region_coeff=0.01),
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policy_kwargs={'dist_kwargs': {'neural_strength': Strength.NONE, 'cov_strength': Strength.FULL, 'parameterization_type':
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ParametrizationType.CHOL, 'enforce_positive_type': EnforcePositiveType.ABS, 'prob_squashing_type': ProbSquashingType.NONE}},
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# KLProjectionLayer(trust_region_coeff=0.01),
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projection=KLProjectionLayer(trust_region_coeff=0.01),
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policy_kwargs={'dist_kwargs': {'neural_strength': Strength.NONE, 'cov_strength': Strength.DIAG, 'parameterization_type':
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ParametrizationType.NONE, 'enforce_positive_type': EnforcePositiveType.ABS, 'prob_squashing_type': ProbSquashingType.NONE}},
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verbose=0,
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tensorboard_log=root_path+"/logs_tb/" +
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env_name+"/ppo"+(['', '_sde'][use_sde])+"/",
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