PPO_CartPole-v1 / config.json
ubiqtuitin's picture
Upload PPO CartPole-v1 trained agent
2b022d0
{"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 0x7f99ef495b00>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f99ef495b90>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f99ef495c20>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f99ef495cb0>", "_build": "<function ActorCriticPolicy._build at 0x7f99ef495d40>", "forward": "<function ActorCriticPolicy.forward at 0x7f99ef495dd0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f99ef495e60>", "_predict": "<function ActorCriticPolicy._predict at 0x7f99ef495ef0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f99ef495f80>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f99ef49a050>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f99ef49a0e0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f99ef4e0b10>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "shape": [4], "low": "[-4.8000002e+00 -3.4028235e+38 -4.1887903e-01 -3.4028235e+38]", "high": "[4.8000002e+00 3.4028235e+38 4.1887903e-01 3.4028235e+38]", "bounded_below": "[ True True True True]", "bounded_above": "[ True True True True]", "_np_random": "RandomState(MT19937)"}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "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", "n": 2, "shape": [], "dtype": "int64", "_np_random": "RandomState(MT19937)"}, "n_envs": 1, "num_timesteps": 500736, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1654527675.387251, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gASVmgAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSwFLBIaUaAOMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiiUMQZfryvR9Un7x1Xpe90lWivpR0lGIu"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gASViQAAAAAAAACMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMDF9yZWNvbnN0cnVjdJSTlIwFbnVtcHmUjAduZGFycmF5lJOUSwCFlEMBYpSHlFKUKEsBSwGFlGgDjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDAQCUdJRiLg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.0014719999999999178, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gASVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 1956, "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": "0.17.3"}}