File size: 15,084 Bytes
26fa895 |
1 |
{"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 0x7fb648cc0ef0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fb648cc0f80>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fb648cc7050>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fb648cc70e0>", "_build": "<function ActorCriticPolicy._build at 0x7fb648cc7170>", "forward": "<function ActorCriticPolicy.forward at 0x7fb648cc7200>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fb648cc7290>", "_predict": "<function ActorCriticPolicy._predict at 0x7fb648cc7320>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fb648cc73b0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fb648cc7440>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fb648cc74d0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fb648c8f960>"}, "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": 32, "num_timesteps": 524288, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1652480289.7670913, "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:": "gAWVkwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksghZSMAUOUdJRSlC4="}, "_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": 120, "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, "system_info": {"OS": "Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}} |