second trainig

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 256.84 +/- 21.99
+      value: 281.07 +/- 19.73
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
-{"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 0x7fb51823c700>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fb51823c790>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fb51823c820>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fb51823c8b0>", "_build": "<function ActorCriticPolicy._build at 0x7fb51823c940>", "forward": "<function ActorCriticPolicy.forward at 0x7fb51823c9d0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fb51823ca60>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fb51823caf0>", "_predict": "<function ActorCriticPolicy._predict at 0x7fb51823cb80>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fb51823cc10>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fb51823cca0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fb51823cd30>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fb53705f140>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1716779242724187639, "learning_rate": 0.0003, "tensorboard_log": null, "_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, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 248, "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": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]", "high": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]", "low_repr": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]", "high_repr": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "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, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}
+{"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 0x7fb51823c700>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fb51823c790>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fb51823c820>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fb51823c8b0>", "_build": "<function ActorCriticPolicy._build at 0x7fb51823c940>", "forward": "<function ActorCriticPolicy.forward at 0x7fb51823c9d0>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fb51823ca60>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fb51823caf0>", "_predict": "<function ActorCriticPolicy._predict at 0x7fb51823cb80>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fb51823cc10>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fb51823cca0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fb51823cd30>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fb53705f140>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 2015232, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1716782093032738685, "learning_rate": 0.0003, "tensorboard_log": null, "_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": -0.007616000000000067, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWV4wsAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQHQnPKEFnqWMAWyUTQEBjAF0lEdAvjtj3lCCz3V9lChoBkdAdBWw4KhL5GgHTQIBaAhHQL47YsGxD9h1fZQoaAZHQEZnd9Dx9XtoB0tcaAhHQL47a+VC5Vh1fZQoaAZHQHJ9ec6Nly1oB0uUaAhHQL47dqMWGh51fZQoaAZHQHObDnV5KOFoB0vsaAhHQL47ehFEy+J1fZQoaAZHQHLDIZdfLLZoB0vLaAhHQL47kJiy6c11fZQoaAZHQHLl27rcCYFoB0vIaAhHQL47qaCtihF1fZQoaAZHQHIowH/tICloB0uRaAhHQL47vt9QXRB1fZQoaAZHQHK8omG/N7loB0ukaAhHQL4707dznzR1fZQoaAZHQG+a0G/vfCRoB0uiaAhHQL473UlzEJl1fZQoaAZHQHOlMhPj4pNoB0uyaAhHQL477UYsNDt1fZQoaAZHQHAV499tuUFoB0uqaAhHQL5UMX2ugYh1fZQoaAZHQHL8lM/QjUxoB0vIaAhHQL5UQ14Pf9B1fZQoaAZHQHHIbGza9K5oB0vNaAhHQL5USxwAEMd1fZQoaAZHQHMWpG4I8hdoB0vYaAhHQL5UY6ZH/cZ1fZQoaAZHQHJlFaSs8xNoB0uvaAhHQL5UZF6Rhc91fZQoaAZHQHK1I3aSLZVoB0u6aAhHQL5Ue9kBjnV1fZQoaAZHQHDfN3OfNA1oB0u5aAhHQL5UhEuQIUt1fZQoaAZHQG/cpaA4GUxoB0ubaAhHQL5UhSmqHXV1fZQoaAZHQHPsUqDsdDJoB0vHaAhHQL5UjdeY2Kl1fZQoaAZHQHR7rDdgv11oB0u3aAhHQL5UjUTcqON1fZQoaAZHQHIo2SZBsyloB0ubaAhHQL5Un08/2TR1fZQoaAZHQHL2XKW9lEtoB0vRaAhHQL5Ur3JxNqR1fZQoaAZHQHD+d7ngYP5oB0uMaAhHQL5U7m1pj+d1fZQoaAZHQHOZdv863iJoB0vYaAhHQL5VAzBAOax1fZQoaAZHQHI1sa86FM9oB0vHaAhHQL5VAvv0AcV1fZQoaAZHQHEsjzAeq71oB0u0aAhHQL5VBXrdFfB1fZQoaAZHQHIfTzundftoB0vYaAhHQL5VIdyDIzZ1fZQoaAZHQHLsexbB42VoB0vBaAhHQL5VIL+glGB1fZQoaAZHQHHnstCiRGNoB0u6aAhHQL5VMea8Yht1fZQoaAZHQHFJVtbcGkhoB0uxaAhHQL5VQNWEK3N1fZQoaAZHQHQLbeANG3FoB0uzaAhHQL5VQ8s+V1R1fZQoaAZHQHOUAl8gIQhoB0uoaAhHQL5VXqSHM2Z1fZQoaAZHQHEZdipeeFtoB0uxaAhHQL5VYLbHp8p1fZQoaAZHQHAlkqc3EQ5oB0u/aAhHQL5Vep/PPcB1fZQoaAZHQHIkxddE9dNoB0vFaAhHQL5Vek+5e7d1fZQoaAZHQHM62wRoRI1oB0vYaAhHQL5ViJuEVWV1fZQoaAZHQHL72M85jpdoB0vGaAhHQL5Vlc+aBqd1fZQoaAZHQHKUmEK3NLVoB0u/aAhHQL5VniKiwjd1fZQoaAZHQHJmTNpudf9oB0uqaAhHQL5V1emvW6N1fZQoaAZHQHG/14keIVNoB0uraAhHQL5V1xcE/0N1fZQoaAZHQHNRUZBLPD5oB0vGaAhHQL5V/c7hegN1fZQoaAZHQHF9NBKL879oB0u4aAhHQL5WCYK6WgR1fZQoaAZHQHGfFJ17pmpoB0u2aAhHQL5WF3RG+bp1fZQoaAZHQHN6IQz1schoB0v0aAhHQL5WJHn2ZiN1fZQoaAZHQHBsZaA4GUxoB0u3aAhHQL5WLAPd2xJ1fZQoaAZHQHM8stPHktFoB0vTaAhHQL5WK9R77bd1fZQoaAZHQHLvbvw3HaNoB0uiaAhHQL5WME2pAD91fZQoaAZHQHLJn9BKL89oB0usaAhHQL5WOiPhhph1fZQoaAZHQHD6kVN5+phoB0ufaAhHQL5WRFFUhmp1fZQoaAZHQHPFvSpiqhloB0vSaAhHQL5WSMx46fd1fZQoaAZHQHBkU1yeZohoB0u1aAhHQL5WeHaN+9d1fZQoaAZHQHFwjNQj2SNoB0uFaAhHQL5WkJl8PWh1fZQoaAZHQHKyR11W8yxoB0vJaAhHQL5WsoSL61t1fZQoaAZHQHMn2Z3LV4JoB0vdaAhHQL5W4y5I6Kd1fZQoaAZHQHBkKxs2vStoB0upaAhHQL5XEhJiAlR1fZQoaAZHQHJwQHAymANoB0vJaAhHQL5XGY287IV1fZQoaAZHQG8zwQlKK51oB0uoaAhHQL5XIk5ZKWd1fZQoaAZHQHAoBQJokAxoB0ugaAhHQL5XQ2g39751fZQoaAZHQHPpj50r9VFoB009AWgIR0C+V2WfK6nSdX2UKGgGR0BzYfZ00WM1aAdLuGgIR0C+V3PnW8RMdX2UKGgGR0B0Fief7JnyaAdLxWgIR0C+V3qWX1J2dX2UKGgGR0Bywp+MIeHSaAdLw2gIR0C+V4DdtVJddX2UKGgGR0By0EegctGvaAdL22gIR0C+V47JGOMmdX2UKGgGR0Bx3DYbsF+vaAdLuWgIR0C+V5Q/1QIldX2UKGgGR0ByB48FINExaAdLxWgIR0C+V5jPOY6XdX2UKGgGR0ByP9Muez2OaAdLwGgIR0C+V6YZqEeydX2UKGgGR0BxHMPMB6rvaAdLoWgIR0C+V6Vlf7aadX2UKGgGR0BwFBgXuVopaAdLumgIR0C+WAFIiC8OdX2UKGgGR0BzbFhJAdGRaAdL1mgIR0C+WBj/p+tsdX2UKGgGR0BxWq2G7BfsaAdLumgIR0C+WDW0iQkpdX2UKGgGR0ByAssNDtw8aAdLp2gIR0C+WEHMhX8wdX2UKGgGR0ByehuaWom5aAdLwWgIR0C+WGx/EwWWdX2UKGgGR0Bx/R2TxG2DaAdLr2gIR0C+WHujZcs2dX2UKGgGR0ByqpqsU7CBaAdLzGgIR0C+WI8Y2sJZdX2UKGgGR0BzzWA9V3lkaAdLuWgIR0C+WLH3+MqCdX2UKGgGR0Bwnhjvuw5eaAdLrmgIR0C+WLsPFvQ4dX2UKGgGR0BxtCrJbMX8aAdLs2gIR0C+WL2AskIHdX2UKGgGR0BxEJ3W4EwGaAdLqmgIR0C+WMNIwudxdX2UKGgGR0BzkgHGCI1taAdLz2gIR0C+WOcrEtNBdX2UKGgGR0ByKK/zreImaAdLs2gIR0C+WOhfKISEdX2UKGgGR0BzFOr/82rGaAdLxGgIR0C+WPR4D9wWdX2UKGgGR0BzYaFL39JjaAdLxGgIR0C+WPj4YaYNdX2UKGgGR0BxwvohY/3WaAdLvWgIR0C+WPp1V5rydX2UKGgGR0BxDb/JeVs2aAdLo2gIR0C+WS3DFZPmdX2UKGgGR0BzLFT987ZGaAdLsWgIR0C+WW64Ds+ndX2UKGgGR0BzTQWqLjxTaAdLwWgIR0C+WW+KXOW0dX2UKGgGR0Bw6zu0CzTnaAdLtWgIR0C+WXvrKNhmdX2UKGgGR0Bw3Vr+HaexaAdLtmgIR0C+WbYyj59FdX2UKGgGR0ByJtWQwK0EaAdLmmgIR0C+WbYrrgO0dX2UKGgGR0By6KPMjeKsaAdLrmgIR0C+Wc7HyVfNdX2UKGgGR0By13d9Dx9YaAdLtGgIR0C+Wc7cO9WZdX2UKGgGR0Bz1OWHDaXbaAdL22gIR0C+WdGJFb3XdX2UKGgGR0BDG05dWyTqaAdLUmgIR0C+WeBKHwgDdX2UKGgGR0By3iqn3ta7aAdLx2gIR0C+We7hegL7dX2UKGgGR0BzJBujynUEaAdL62gIR0C+WfFFH8TBdX2UKGgGR0ByKzxMFlkIaAdLv2gIR0C+WgRew9q2dX2UKGgGR0BzfP9BKL88aAdLuWgIR0C+Wgq/7BO6dX2UKGgGR0BzVM2m51/2aAdL0mgIR0C+Wh7UkOZtdX2UKGgGR0Bxh0lY2bXpaAdLy2gIR0C+WiL+o99udWUu"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 2460, "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": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]", "high": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]", "low_repr": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]", "high_repr": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "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": 20, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}

ppo-LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b164b248e71cebbbdf6b2658e4ad91b098e0559a1c20cedce6b0e7ad78bed83f
-size 148076
+oid sha256:da1e1fc86cd716a69928ac94a9007595f12dd43ddb96a5c2b7a6be1f5a2385db
+size 147958

ppo-LunarLander-v2/data

@@ -21,17 +21,17 @@
     },
     "verbose": 1,
     "policy_kwargs": {},
-    "num_timesteps": 1015808,
-    "_total_timesteps": 1000000,
+    "num_timesteps": 2015232,
+    "_total_timesteps": 2000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1716779242724187639,
+    "start_time": 1716782093032738685,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -41,17 +41,17 @@
     "_episode_num": 0,
     "use_sde": false,
     "sde_sample_freq": -1,
-    "_current_progress_remaining": -0.015808000000000044,
+    "_current_progress_remaining": -0.007616000000000067,
     "_stats_window_size": 100,
     "ep_info_buffer": {
         ":type:": "<class 'collections.deque'>",
-        ":serialized:": "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"
+        ":serialized:": "gAWV4wsAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQHQnPKEFnqWMAWyUTQEBjAF0lEdAvjtj3lCCz3V9lChoBkdAdBWw4KhL5GgHTQIBaAhHQL47YsGxD9h1fZQoaAZHQEZnd9Dx9XtoB0tcaAhHQL47a+VC5Vh1fZQoaAZHQHJ9ec6Nly1oB0uUaAhHQL47dqMWGh51fZQoaAZHQHObDnV5KOFoB0vsaAhHQL47ehFEy+J1fZQoaAZHQHLDIZdfLLZoB0vLaAhHQL47kJiy6c11fZQoaAZHQHLl27rcCYFoB0vIaAhHQL47qaCtihF1fZQoaAZHQHIowH/tICloB0uRaAhHQL47vt9QXRB1fZQoaAZHQHK8omG/N7loB0ukaAhHQL4707dznzR1fZQoaAZHQG+a0G/vfCRoB0uiaAhHQL473UlzEJl1fZQoaAZHQHOlMhPj4pNoB0uyaAhHQL477UYsNDt1fZQoaAZHQHAV499tuUFoB0uqaAhHQL5UMX2ugYh1fZQoaAZHQHL8lM/QjUxoB0vIaAhHQL5UQ14Pf9B1fZQoaAZHQHHIbGza9K5oB0vNaAhHQL5USxwAEMd1fZQoaAZHQHMWpG4I8hdoB0vYaAhHQL5UY6ZH/cZ1fZQoaAZHQHJlFaSs8xNoB0uvaAhHQL5UZF6Rhc91fZQoaAZHQHK1I3aSLZVoB0u6aAhHQL5Ue9kBjnV1fZQoaAZHQHDfN3OfNA1oB0u5aAhHQL5UhEuQIUt1fZQoaAZHQG/cpaA4GUxoB0ubaAhHQL5UhSmqHXV1fZQoaAZHQHPsUqDsdDJoB0vHaAhHQL5UjdeY2Kl1fZQoaAZHQHR7rDdgv11oB0u3aAhHQL5UjUTcqON1fZQoaAZHQHIo2SZBsyloB0ubaAhHQL5Un08/2TR1fZQoaAZHQHL2XKW9lEtoB0vRaAhHQL5Ur3JxNqR1fZQoaAZHQHD+d7ngYP5oB0uMaAhHQL5U7m1pj+d1fZQoaAZHQHOZdv863iJoB0vYaAhHQL5VAzBAOax1fZQoaAZHQHI1sa86FM9oB0vHaAhHQL5VAvv0AcV1fZQoaAZHQHEsjzAeq71oB0u0aAhHQL5VBXrdFfB1fZQoaAZHQHIfTzundftoB0vYaAhHQL5VIdyDIzZ1fZQoaAZHQHLsexbB42VoB0vBaAhHQL5VIL+glGB1fZQoaAZHQHHnstCiRGNoB0u6aAhHQL5VMea8Yht1fZQoaAZHQHFJVtbcGkhoB0uxaAhHQL5VQNWEK3N1fZQoaAZHQHQLbeANG3FoB0uzaAhHQL5VQ8s+V1R1fZQoaAZHQHOUAl8gIQhoB0uoaAhHQL5VXqSHM2Z1fZQoaAZHQHEZdipeeFtoB0uxaAhHQL5VYLbHp8p1fZQoaAZHQHAlkqc3EQ5oB0u/aAhHQL5Vep/PPcB1fZQoaAZHQHIkxddE9dNoB0vFaAhHQL5Vek+5e7d1fZQoaAZHQHM62wRoRI1oB0vYaAhHQL5ViJuEVWV1fZQoaAZHQHL72M85jpdoB0vGaAhHQL5Vlc+aBqd1fZQoaAZHQHKUmEK3NLVoB0u/aAhHQL5VniKiwjd1fZQoaAZHQHJmTNpudf9oB0uqaAhHQL5V1emvW6N1fZQoaAZHQHG/14keIVNoB0uraAhHQL5V1xcE/0N1fZQoaAZHQHNRUZBLPD5oB0vGaAhHQL5V/c7hegN1fZQoaAZHQHF9NBKL879oB0u4aAhHQL5WCYK6WgR1fZQoaAZHQHGfFJ17pmpoB0u2aAhHQL5WF3RG+bp1fZQoaAZHQHN6IQz1schoB0v0aAhHQL5WJHn2ZiN1fZQoaAZHQHBsZaA4GUxoB0u3aAhHQL5WLAPd2xJ1fZQoaAZHQHM8stPHktFoB0vTaAhHQL5WK9R77bd1fZQoaAZHQHLvbvw3HaNoB0uiaAhHQL5WME2pAD91fZQoaAZHQHLJn9BKL89oB0usaAhHQL5WOiPhhph1fZQoaAZHQHD6kVN5+phoB0ufaAhHQL5WRFFUhmp1fZQoaAZHQHPFvSpiqhloB0vSaAhHQL5WSMx46fd1fZQoaAZHQHBkU1yeZohoB0u1aAhHQL5WeHaN+9d1fZQoaAZHQHFwjNQj2SNoB0uFaAhHQL5WkJl8PWh1fZQoaAZHQHKyR11W8yxoB0vJaAhHQL5WsoSL61t1fZQoaAZHQHMn2Z3LV4JoB0vdaAhHQL5W4y5I6Kd1fZQoaAZHQHBkKxs2vStoB0upaAhHQL5XEhJiAlR1fZQoaAZHQHJwQHAymANoB0vJaAhHQL5XGY287IV1fZQoaAZHQG8zwQlKK51oB0uoaAhHQL5XIk5ZKWd1fZQoaAZHQHAoBQJokAxoB0ugaAhHQL5XQ2g39751fZQoaAZHQHPpj50r9VFoB009AWgIR0C+V2WfK6nSdX2UKGgGR0BzYfZ00WM1aAdLuGgIR0C+V3PnW8RMdX2UKGgGR0B0Fief7JnyaAdLxWgIR0C+V3qWX1J2dX2UKGgGR0Bywp+MIeHSaAdLw2gIR0C+V4DdtVJddX2UKGgGR0By0EegctGvaAdL22gIR0C+V47JGOMmdX2UKGgGR0Bx3DYbsF+vaAdLuWgIR0C+V5Q/1QIldX2UKGgGR0ByB48FINExaAdLxWgIR0C+V5jPOY6XdX2UKGgGR0ByP9Muez2OaAdLwGgIR0C+V6YZqEeydX2UKGgGR0BxHMPMB6rvaAdLoWgIR0C+V6Vlf7aadX2UKGgGR0BwFBgXuVopaAdLumgIR0C+WAFIiC8OdX2UKGgGR0BzbFhJAdGRaAdL1mgIR0C+WBj/p+tsdX2UKGgGR0BxWq2G7BfsaAdLumgIR0C+WDW0iQkpdX2UKGgGR0ByAssNDtw8aAdLp2gIR0C+WEHMhX8wdX2UKGgGR0ByehuaWom5aAdLwWgIR0C+WGx/EwWWdX2UKGgGR0Bx/R2TxG2DaAdLr2gIR0C+WHujZcs2dX2UKGgGR0ByqpqsU7CBaAdLzGgIR0C+WI8Y2sJZdX2UKGgGR0BzzWA9V3lkaAdLuWgIR0C+WLH3+MqCdX2UKGgGR0Bwnhjvuw5eaAdLrmgIR0C+WLsPFvQ4dX2UKGgGR0BxtCrJbMX8aAdLs2gIR0C+WL2AskIHdX2UKGgGR0BxEJ3W4EwGaAdLqmgIR0C+WMNIwudxdX2UKGgGR0BzkgHGCI1taAdLz2gIR0C+WOcrEtNBdX2UKGgGR0ByKK/zreImaAdLs2gIR0C+WOhfKISEdX2UKGgGR0BzFOr/82rGaAdLxGgIR0C+WPR4D9wWdX2UKGgGR0BzYaFL39JjaAdLxGgIR0C+WPj4YaYNdX2UKGgGR0BxwvohY/3WaAdLvWgIR0C+WPp1V5rydX2UKGgGR0BxDb/JeVs2aAdLo2gIR0C+WS3DFZPmdX2UKGgGR0BzLFT987ZGaAdLsWgIR0C+WW64Ds+ndX2UKGgGR0BzTQWqLjxTaAdLwWgIR0C+WW+KXOW0dX2UKGgGR0Bw6zu0CzTnaAdLtWgIR0C+WXvrKNhmdX2UKGgGR0Bw3Vr+HaexaAdLtmgIR0C+WbYyj59FdX2UKGgGR0ByJtWQwK0EaAdLmmgIR0C+WbYrrgO0dX2UKGgGR0By6KPMjeKsaAdLrmgIR0C+Wc7HyVfNdX2UKGgGR0By13d9Dx9YaAdLtGgIR0C+Wc7cO9WZdX2UKGgGR0Bz1OWHDaXbaAdL22gIR0C+WdGJFb3XdX2UKGgGR0BDG05dWyTqaAdLUmgIR0C+WeBKHwgDdX2UKGgGR0By3iqn3ta7aAdLx2gIR0C+We7hegL7dX2UKGgGR0BzJBujynUEaAdL62gIR0C+WfFFH8TBdX2UKGgGR0ByKzxMFlkIaAdLv2gIR0C+WgRew9q2dX2UKGgGR0BzfP9BKL88aAdLuWgIR0C+Wgq/7BO6dX2UKGgGR0BzVM2m51/2aAdL0mgIR0C+Wh7UkOZtdX2UKGgGR0Bxh0lY2bXpaAdLy2gIR0C+WiL+o99udWUu"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 248,
+    "_n_updates": 2460,
     "observation_space": {
         ":type:": "<class 'gymnasium.spaces.box.Box'>",
         ":serialized:": "gAWVdgIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoCIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoESiWCAAAAAAAAAABAQEBAQEBAZRoFUsIhZRoGXSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBEoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaAtLCIWUaBl0lFKUjARoaWdolGgRKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgLSwiFlGgZdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlE51Yi4=",
@@ -84,7 +84,7 @@
     "vf_coef": 0.5,
     "max_grad_norm": 0.5,
     "batch_size": 64,
-    "n_epochs": 4,
+    "n_epochs": 20,
     "clip_range": {
         ":type:": "<class 'function'>",
         ":serialized:": "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"

ppo-LunarLander-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b245cf6c15243f5ca661d6ce8f67791685a60bfc6ceb61a6b8f2c878aa8f382b
+oid sha256:c52f90ab1ff36161719ad38786b202d4af0789b0325a98fba5ca62d74b4cebd7
 size 88362

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:830984401b4581c117f24942ef212a9399c8d80081a9d4c1e58260130daba15f
+oid sha256:3cc325be32814c0630b13c972133fc1872bb424586ca3b15fb91b1bfa67c6f76
 size 43762

results.json

@@ -1 +1 @@
-{"mean_reward": 256.83950889999994, "std_reward": 21.99303358083919, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-05-27T03:43:58.906385"}
+{"mean_reward": 281.07463859999996, "std_reward": 19.728376656590793, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-05-27T05:22:16.506311"}