| {"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 0x7efbd76d4ef0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7efbd76d4f80>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7efbd76dc050>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7efbd76dc0e0>", "_build": "<function ActorCriticPolicy._build at 0x7efbd76dc170>", "forward": "<function ActorCriticPolicy.forward at 0x7efbd76dc200>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7efbd76dc290>", "_predict": "<function ActorCriticPolicy._predict at 0x7efbd76dc320>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7efbd76dc3b0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7efbd76dc440>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7efbd76dc4d0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7efbd77295d0>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "gAWVnwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAAAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/5RoCksIhZSMAUOUdJRSlIwEaGlnaJRoEiiWIAAAAAAAAAAAAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAf5RoCksIhZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolggAAAAAAAAAAAAAAAAAAACUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYIAAAAAAAAAAAAAAAAAAAAlGghSwiFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu", "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": 16384, "_total_timesteps": 10000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1652115427.047049, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVvwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAUsBSxNDBIgAUwCUToWUKYwBX5SFlIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLgEMCAAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCB9lH2UKGgXaA6MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgYjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "_last_obs": null, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQCUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.6384000000000001, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 4, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 4, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "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"}} |