PaulMest's picture
Upload PPO LunarLander-v2 trained agent
4e50599
{"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 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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 0x16d718e50>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x16d718ee0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x16d718f70>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x16d719000>", "_build": "<function ActorCriticPolicy._build at 0x16d719090>", "forward": "<function ActorCriticPolicy.forward at 0x16d719120>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x16d7191b0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x16d719240>", "_predict": "<function ActorCriticPolicy._predict at 0x16d7192d0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x16d719360>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x16d7193f0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x16d719480>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x16d40ddc0>"}, "verbose": 0, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_shape": [8], "low": "[-1.5 -1.5 -5. -5. -3.1415927 -5.\n -0. -0. ]", "high": "[1.5 1.5 5. 5. 3.1415927 5. 1.\n 1. ]", "low_repr": "[-1.5 -1.5 -5. -5. -3.1415927 -5.\n -0. -0. ]", "high_repr": "[1.5 1.5 5. 5. 3.1415927 5. 1.\n 1. ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV/QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgLjAJpOJSJiIeUUpQoSwNoD05OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 32, "num_timesteps": 7012352, "_total_timesteps": 7000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1672532961502336000, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdQQAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYABAAAAAAAAFPEUz5wPfQ+hSdEvhc+H7+3p44+918cvgAAAAAAAAAAbaM4PjH0kj/wqJw+pUpFv+iejD4rovU9AAAAAAAAAADauwA+Fzu1P2KTDz+tToO+Fu4gPiINij4AAAAAAAAAAABAfDrFSdc8+7wBvwBsur3QqGG+bkIcPwAAgD8AAAAATQkLvcO9WbrjzXO6U0R8tg2umzuuw485AACAPwAAgD9mZsq7uHeHPLrkZT7Rdai9EjESPjY4bb8AAAAAAACAPzOf5zwC1rg/ORsyPqT53L10/oe7fsPmOwAAAAAAAAAAAELBPJ3osT9rnUg/DaasvqyRqbyBhci9AAAAAAAAAABq6YA+vQ1HPnmVDb/shBG/dyk9PvtJmL4AAAAAAAAAAGbRSr1Zp6s/PooZvmldAL+/rSi+SpT9vQAAAAAAAAAAmrjOvN6atz/mpY6+gRcUPbE0zrwNl0q+AAAAAAAAAACmqis+7yaSPq5rSb6Z0RW/6n1BPpqsuL0AAAAAAAAAAACwAryZU6g/NffYvH6N8r5JcOi85ppzvQAAAAAAAAAAmt3vO94psz/izj0/IP3+vpLcCrw8+iu+AAAAAAAAAACzbKa9BjqjP6DPHr/7LSa/bDftvLdMiL4AAAAAAAAAADNbGbz2bC26LPMss72BlC9dV7u6+2HQMwAAgD8AAIA/zXBbPet1jj2iIGu+OTeyvgJiZD2ynBO+AAAAAAAAAABa+YU9bIn1uylhhL4b6TG9TSBKvdo/Fr4AAIA/AACAP8CqEj61JEE/HDeLPQT2Z7/TVi8++wDUPAAAAAAAAAAAmtkUvR9QwzxlEcs9ziS+vjGmBj3nagA+AAAAAAAAAACNLuw9+IGRPxphuz6AvUG/MphMPrTCED4AAAAAAAAAADPz2zk9rDi7FpU4vLT2lDzpAY28egOAPQAAgD8AAIA/M6LtvNIfwD8TVP+9PQWdvb7Fpr1o8eu9AAAAAAAAAABmsrs7pD54u05f7TuiW4Y84g2vvELcZj0AAIA/AACAP5pV5DulhK8/2vxpPsE7Hb/+QM27OzCSvAAAAAAAAAAAhiRKvp3N2z7Fi9Q+om1Pvz0UFb7tOas+AAAAAAAAAAAAy/Y8g85GvGNbBz56nCW+nc5wvVuW4T4AAIA/AACAPwa2cz7mlQw/hXGHPZCmKb8kRMg+VSpevQAAAAAAAAAAze1BPqoYJD4bXQ6/7Z/avvfGuD0muIq+AAAAAAAAAAATygM+scwOPorY/b5QWoy+Bn6avGjka74AAAAAAAAAAMAsHD4Uh4s/3qvMPrEbRb/Xj4M+zxhEPgAAAAAAAAAAmjloOz3LMbsb50u9NFXDPK8bPTxVcqa9AACAPwAAgD+UjAVudW1weZSMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSyBLCIaUjAFDlHSUUpQu"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVkwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksghZSMAUOUdJRSlC4="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.0017645714285714487, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 856, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.97, "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": "macOS-13.1-arm64-arm-64bit Darwin Kernel Version 22.2.0: Fri Nov 11 02:03:51 PST 2022; root:xnu-8792.61.2~4/RELEASE_ARM64_T6000", "Python": "3.10.8", "Stable-Baselines3": "2.0.0a0", "PyTorch": "1.13.0", "GPU Enabled": "False", "Numpy": "1.23.5", "Gym": "0.27.0"}}