Manaranjan's picture
Upload PPO LunarLander-v2 trained agent
a558e2d
raw
history blame contribute delete
No virus
14.4 kB
{"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 0x7f781db7b440>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f781db7b4d0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f781db7b560>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f781db7b5f0>", "_build": "<function ActorCriticPolicy._build at 0x7f781db7b680>", "forward": "<function ActorCriticPolicy.forward at 0x7f781db7b710>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f781db7b7a0>", "_predict": "<function ActorCriticPolicy._predict at 0x7f781db7b830>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f781db7b8c0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f781db7b950>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f781db7b9e0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f781db4d330>"}, "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": 1652705974.980264, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVvwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAUsBSxNDBIgAUwCUToWUKYwBX5SFlIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLgEMCAAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCB9lH2UKGgXaA6MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgYjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "_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:": "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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"}}