ppo-LunarLander-v2 / config.json
urkepg's picture
Upload PPO LunarLander-v2 trained agent
7a3e316
{"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 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 0x7ff2c5b24f80>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff2c5b2b050>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ff2c5b2b0e0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ff2c5b2b170>", "_build": "<function ActorCriticPolicy._build at 0x7ff2c5b2b200>", "forward": "<function ActorCriticPolicy.forward at 0x7ff2c5b2b290>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ff2c5b2b320>", "_predict": "<function ActorCriticPolicy._predict at 0x7ff2c5b2b3b0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ff2c5b2b440>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ff2c5b2b4d0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ff2c5b2b560>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7ff2c5b84060>"}, "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": 1662335522.4879675, "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:": "gAWVwQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsBSwFLE0MEiABTAJROhZQpjAFflIWUjEgvdXNyL2xvY2FsL2xpYi9weXRob24zLjcvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuAQwIAAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEgvdXNyL2xvY2FsL2xpYi9weXRob24zLjcvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUdU5OaACMEF9tYWtlX2VtcHR5X2NlbGyUk5QpUpSFlHSUUpSMHGNsb3VkcGlja2xlLmNsb3VkcGlja2xlX2Zhc3SUjBJfZnVuY3Rpb25fc2V0c3RhdGWUk5RoH32UfZQoaBZoDYwMX19xdWFsbmFtZV9flIwZY29uc3RhbnRfZm4uPGxvY2Fscz4uZnVuY5SMD19fYW5ub3RhdGlvbnNfX5R9lIwOX19rd2RlZmF1bHRzX1+UTowMX19kZWZhdWx0c19flE6MCl9fbW9kdWxlX1+UaBeMB19fZG9jX1+UTowLX19jbG9zdXJlX1+UaACMCl9tYWtlX2NlbGyUk5RHP8mZmZmZmZqFlFKUhZSMF19jbG91ZHBpY2tsZV9zdWJtb2R1bGVzlF2UjAtfX2dsb2JhbHNfX5R9lHWGlIZSMC4="}, "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": "1.6.0", "PyTorch": "1.12.1+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}