ppo-LunarLander-v2 / config.json
Pausaxo's picture
Upload PPO LunarLander-v2 trained agent
dd04bbd
{"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 0x7f6193696200>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f6193696290>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f6193696320>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f61936963b0>", "_build": "<function ActorCriticPolicy._build at 0x7f6193696440>", "forward": "<function ActorCriticPolicy.forward at 0x7f61936964d0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f6193696560>", "_predict": "<function ActorCriticPolicy._predict at 0x7f61936965f0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f6193696680>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f6193696710>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f61936967a0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f61936d1e40>"}, "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": 507904, "_total_timesteps": 500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1652171035.8289697, "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": 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:": "gAWVvwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAUsBSxNDBIgAUwCUToWUKYwBX5SFlIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLgEMCAAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCB9lH2UKGgXaA6MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgYjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/JmZmZmZmahZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "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"}}