pneubauer's picture
Add basic Lunar Lander agent.
7d25da7
{
"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 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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 0x7f11f4498790>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f11f4498820>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f11f44988b0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f11f4498940>",
"_build": "<function ActorCriticPolicy._build at 0x7f11f44989d0>",
"forward": "<function ActorCriticPolicy.forward at 0x7f11f4498a60>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f11f4498af0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f11f4498b80>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f11f4498c10>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f11f4498ca0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f11f4498d30>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f11f4498dc0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f11f4513810>"
},
"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": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1673821241324008576,
"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": -0.015808000000000044,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 248,
"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
}