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!!python/object/apply:collections.OrderedDict
- - - batch_size
- 512
- - clip_range
- 0.2
- - ent_coef
- 6.4940755116195606e-06
- - gae_lambda
- 0.98
- - gamma
- 0.99
- - learning_rate
- 0.0004476103728105138
- - max_grad_norm
- 1
- - n_envs
- 16
- - n_epochs
- 20
- - n_steps
- 256
- - n_timesteps
- 1000000.0
- - normalize
- dict(norm_obs=False, norm_reward=True)
- - policy
- imitation.policies.base.MlpPolicyWithNormalizeFeaturesExtractor
- - policy_kwargs
- dict(activation_fn=nn.Tanh, net_arch=[dict(pi=[64, 64], vf=[64, 64])])
- - vf_coef
- 0.25988158989488963
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