Ibtisam's picture
Upload PPO LunarLander-v2 trained agent
c1a7541
raw
history blame
14.6 kB
{
"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 0x7f09b85ba280>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f09b85ba310>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f09b85ba3a0>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f09b85ba430>",
"_build": "<function ActorCriticPolicy._build at 0x7f09b85ba4c0>",
"forward": "<function ActorCriticPolicy.forward at 0x7f09b85ba550>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f09b85ba5e0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f09b85ba670>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f09b85ba700>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f09b85ba790>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f09b85ba820>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f09b85ba8b0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc_data object at 0x7f09b85b83f0>"
},
"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": 10010624,
"_total_timesteps": 10000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1677326492081459210,
"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:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAEAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
},
"_last_original_obs": null,
"_episode_num": 0,
"use_sde": false,
"sde_sample_freq": -1,
"_current_progress_remaining": -0.0010623999999999079,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 2444,
"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
}