| { |
| "policy_class": { |
| ":type:": "<class 'abc.ABCMeta'>", |
| ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", |
| "__module__": "stable_baselines3.common.policies", |
| "__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ", |
| "__init__": "<function ActorCriticPolicy.__init__ at 0x7f20de954710>", |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f20de9547a0>", |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f20de954830>", |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f20de9548c0>", |
| "_build": "<function ActorCriticPolicy._build at 0x7f20de954950>", |
| "forward": "<function ActorCriticPolicy.forward at 0x7f20de9549e0>", |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f20de954a70>", |
| "_predict": "<function ActorCriticPolicy._predict at 0x7f20de954b00>", |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f20de954b90>", |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f20de954c20>", |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f20de954cb0>", |
| "__abstractmethods__": "frozenset()", |
| "_abc_impl": "<_abc_data object at 0x7f20de9a53c0>" |
| }, |
| "verbose": 1, |
| "policy_kwargs": {}, |
| "observation_space": { |
| ":type:": "<class 'gym.spaces.box.Box'>", |
| ":serialized:": "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", |
| "dtype": "float32", |
| "_shape": [ |
| 8 |
| ], |
| "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", |
| "high": "[inf inf inf inf inf inf inf inf]", |
| "bounded_below": "[False False False False False False False False]", |
| "bounded_above": "[False False False False False False False False]", |
| "_np_random": null |
| }, |
| "action_space": { |
| ":type:": "<class 'gym.spaces.discrete.Discrete'>", |
| ":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", |
| "n": 4, |
| "_shape": [], |
| "dtype": "int64", |
| "_np_random": null |
| }, |
| "n_envs": 16, |
| "num_timesteps": 524288, |
| "_total_timesteps": 500000, |
| "_num_timesteps_at_start": 0, |
| "seed": null, |
| "action_noise": null, |
| "start_time": 1651981961.3991117, |
| "learning_rate": 0.0003, |
| "tensorboard_log": null, |
| "lr_schedule": { |
| ":type:": "<class 'function'>", |
| ":serialized:": "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" |
| }, |
| "_last_obs": { |
| ":type:": "<class 'numpy.ndarray'>", |
| ":serialized:": "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" |
| }, |
| "_last_episode_starts": { |
| ":type:": "<class 'numpy.ndarray'>", |
| ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg==" |
| }, |
| "_last_original_obs": null, |
| "_episode_num": 0, |
| "use_sde": false, |
| "sde_sample_freq": -1, |
| "_current_progress_remaining": -0.04857599999999995, |
| "ep_info_buffer": { |
| ":type:": "<class 'collections.deque'>", |
| ":serialized:": "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" |
| }, |
| "ep_success_buffer": { |
| ":type:": "<class 'collections.deque'>", |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" |
| }, |
| "_n_updates": 320, |
| "n_steps": 2048, |
| "gamma": 0.99, |
| "gae_lambda": 0.95, |
| "ent_coef": 0.0, |
| "vf_coef": 0.5, |
| "max_grad_norm": 0.5, |
| "batch_size": 64, |
| "n_epochs": 10, |
| "clip_range": { |
| ":type:": "<class 'function'>", |
| ":serialized:": "gAWVvwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAUsBSxNDBIgAUwCUToWUKYwBX5SFlIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLgEMCAAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCB9lH2UKGgXaA6MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgYjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/JmZmZmZmahZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu" |
| }, |
| "clip_range_vf": null, |
| "normalize_advantage": true, |
| "target_kl": null |
| } |
