!!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