go2k's picture
Upload PPO LunarLander-v2 trained agent
de03ed1
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gASVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__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 0x7f2169b53830>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f2169b538c0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f2169b53950>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f2169b539e0>", "_build": "<function ActorCriticPolicy._build at 0x7f2169b53a70>", "forward": "<function ActorCriticPolicy.forward at 0x7f2169b53b00>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f2169b53b90>", "_predict": "<function ActorCriticPolicy._predict at 0x7f2169b53c20>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f2169b53cb0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f2169b53d40>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f2169b53dd0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f2169b2e090>"}, "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:": "gASVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": 4, "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "num_timesteps": 507904, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1657087637.4150121, "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:": "gASVmAAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSxCFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDEAAAAAAAAAAAAAAAAAAAAACUdJRiLg=="}, "_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:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 124, "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"}}