alexgulliver's picture
Upload PPO LunarLander-v2 trained agent
c0970f1 verified
{
"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 0x7bd762944e50>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7bd762944ee0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7bd762944f70>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7bd762945000>",
"_build": "<function ActorCriticPolicy._build at 0x7bd762945090>",
"forward": "<function ActorCriticPolicy.forward at 0x7bd762945120>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7bd7629451b0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7bd762945240>",
"_predict": "<function ActorCriticPolicy._predict at 0x7bd7629452d0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7bd762945360>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7bd7629453f0>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7bd762945480>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7bd7628e3540>"
},
"verbose": 1,
"policy_kwargs": {},
"num_timesteps": 1015808,
"_total_timesteps": 1000000,
"_num_timesteps_at_start": 0,
"seed": null,
"action_noise": null,
"start_time": 1708617221754973069,
"learning_rate": 0.0003,
"tensorboard_log": null,
"_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,
"_stats_window_size": 100,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 248,
"observation_space": {
":type:": "<class 'gymnasium.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"bounded_below": "[ True True True True True True True True]",
"bounded_above": "[ True True True True True True True True]",
"_shape": [
8
],
"low": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]",
"high": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]",
"low_repr": "[-90. -90. -5. -5. -3.1415927 -5.\n -0. -0. ]",
"high_repr": "[90. 90. 5. 5. 3.1415927 5.\n 1. 1. ]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=",
"n": "4",
"start": "0",
"_shape": [],
"dtype": "int64",
"_np_random": null
},
"n_envs": 16,
"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:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/JmZmZmZmahZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"
},
"clip_range_vf": null,
"normalize_advantage": true,
"target_kl": null,
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
}
}