| { | |
| "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 0x7fafcaa4b5f0>", | |
| "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fafcaa4b680>", | |
| "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fafcaa4b710>", | |
| "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fafcaa4b7a0>", | |
| "_build": "<function ActorCriticPolicy._build at 0x7fafcaa4b830>", | |
| "forward": "<function ActorCriticPolicy.forward at 0x7fafcaa4b8c0>", | |
| "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fafcaa4b950>", | |
| "_predict": "<function ActorCriticPolicy._predict at 0x7fafcaa4b9e0>", | |
| "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fafcaa4ba70>", | |
| "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fafcaa4bb00>", | |
| "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fafcaa4bb90>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc_data object at 0x7fafcaa98a20>" | |
| }, | |
| "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:": "gAWVgQAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwFc2hhcGWUKYwFZHR5cGWUjAVudW1weZRoB5OUjAJpOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRijApfbnBfcmFuZG9tlE51Yi4=", | |
| "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": 1651943794.5394073, | |
| "learning_rate": 0.0003, | |
| "tensorboard_log": null, | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "gAWVvwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAUsBSxNDBIgAUwCUToWUKYwBX5SFlIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLgEMCAAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCB9lH2UKGgXaA6MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgYjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu" | |
| }, | |
| "_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": 230, | |
| "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:": "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" | |
| }, | |
| "clip_range_vf": null, | |
| "normalize_advantage": true, | |
| "target_kl": null | |
| } |