Gurumoorthy's picture
Upload PPO LunarLander-v2 trained agent
8bfca34
{
"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 0x7f53df6a89d0>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f53df6a8a60>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f53df6a8af0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f53df6a8b80>",
"_build": "<function ActorCriticPolicy._build at 0x7f53df6a8c10>",
"forward": "<function ActorCriticPolicy.forward at 0x7f53df6a8ca0>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f53df6a8d30>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f53df6a8dc0>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f53df6a8e50>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f53df6a8ee0>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f53df6a8f70>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f53df6ab040>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f53df6a16f0>"
},
"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": 1677624212547691449,
"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
}