try land this thing

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -187.89 +/- 53.59
+      value: 278.02 +/- 9.76
       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 0x7fb56bce9090>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fb56bce9120>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fb56bce91b0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fb56bce9240>", "_build": "<function ActorCriticPolicy._build at 0x7fb56bce92d0>", "forward": "<function ActorCriticPolicy.forward at 0x7fb56bce9360>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fb56bce93f0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fb56bce9480>", "_predict": "<function ActorCriticPolicy._predict at 0x7fb56bce9510>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fb56bce95a0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fb56bce9630>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fb56bce96c0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fb56bcec040>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 131072, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1692675513789373864, "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": -0.3107200000000001, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWV4AsAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHwE19DhtLteGMAWyUS3+MAXSUR0BwRt2nsLOSdX2UKGgGR8BEunbRF7UoaAdLjGgIR0BwR1cqvvBrdX2UKGgGR8Bat5QpF1B/aAdLYmgIR0BwR6W/rSmZdX2UKGgGR8BlgjHsC1Z1aAdLemgIR0BwR80j1PFedX2UKGgGR8BeK0vGp++eaAdLVWgIR0BwSEYl6Z6VdX2UKGgGR8BTp7SqlxffaAdLfWgIR0BwSIWIoE0SdX2UKGgGR8BMAS/9Hc1waAdLS2gIR0BwSGEnLJS0dX2UKGgGR8BTPveUILPVaAdLdGgIR0BwSN2IO6NEdX2UKGgGR8BQiv60pmVaaAdLUmgIR0BwSWjKxLTQdX2UKGgGR8BS5clXzUZvaAdLYmgIR0BwSvpr1uiwdX2UKGgGR8BX6Uc0cfeUaAdLbGgIR0BwSy6bvw3HdX2UKGgGR8BSK8QqZtvXaAdLfGgIR0BwS/8uSOindX2UKGgGR8BPB6mGdqcmaAdLV2gIR0BwTAqtozvadX2UKGgGR8BWp6VY6nzhaAdLjWgIR0BwTI/9pAUtdX2UKGgGR8BIhWvjfek6aAdLkGgIR0BwTG88La24dX2UKGgGR8BO9o60Y0l7aAdLSWgIR0BwTJYfW+XadX2UKGgGR8BSG4caOxSpaAdLRmgIR0BwTN3cHnlodX2UKGgGR8BYvjLB9Cu2aAdLTWgIR0BwTY4iosI3dX2UKGgGR8BYoRiXpnpTaAdLaWgIR0BwTZM+NcW1dX2UKGgGR8BQ6TlT3qRmaAdLdGgIR0BwTt+CsfaIdX2UKGgGR8BWB2gBcRlIaAdLc2gIR0BwT/d+G47SdX2UKGgGR8BNkmseXAuaaAdLgGgIR0BwUBQoCuEFdX2UKGgGR8BKJxQSBbwCaAdLkmgIR0BwUH3225QQdX2UKGgGR8BFNATAWSEEaAdLTWgIR0BwUSwW3z+WdX2UKGgGR8BSvHIuGsV+aAdLTmgIR0BwUU5U96kZdX2UKGgGR8BNVCr1dxACaAdLXmgIR0BwUU8nuy/sdX2UKGgGR8BR9KGQCCBgaAdLiWgIR0BwUhPci4axdX2UKGgGR8A0hkoWpIczaAdLUWgIR0BwUfEIgNgCdX2UKGgGR8BYMsKw6hg3aAdLbmgIR0BwUq10DEFXdX2UKGgGR8BW4qur6tT2aAdLi2gIR0BwUuAjIJZ4dX2UKGgGR8BgJzhaTwDvaAdLUWgIR0BwUyl67dzodX2UKGgGR8BMgdOZb6gvaAdLa2gIR0BwVCKFZgXudX2UKGgGR8BZ6vEsJ6Y3aAdLY2gIR0BwVFPSDyvtdX2UKGgGR8BWS4Kc/dIoaAdLV2gIR0BwVNnCfpUxdX2UKGgGR8BtVwzch1TzaAdLemgIR0BwVNC8e0XxdX2UKGgGR8BXdyVjZtelaAdLkWgIR0BwVmIacZtOdX2UKGgGR8BWtkvsZ5zHaAdLXGgIR0BwVmVbA1vVdX2UKGgGR8BUTJK8L8aXaAdLTmgIR0BwVywFC9h7dX2UKGgGR8BMU3UhFEy+aAdLa2gIR0BwV0VxjriVdX2UKGgGR8BRV7ORkmQbaAdLXGgIR0BwV4h5gPVedX2UKGgGR0Ad/3yqdYnwaAdLS2gIR0BwV9LwnYxtdX2UKGgGR8A2+jGDL8rJaAdLT2gIR0BwWFvGZNO/dX2UKGgGR8BQD1ajesPraAdLWmgIR0BwWJPCVKPGdX2UKGgGR8BQv9QbdadMaAdLaGgIR0BwWPqTr3TNdX2UKGgGR8BOgaa1Cw8oaAdLdGgIR0BwWPcafjCIdX2UKGgGR8BLNRDb8FY/aAdLRWgIR0BwWOU7jkuIdX2UKGgGR8BSYz8cdYGMaAdLfWgIR0BwWORA8jiXdX2UKGgGR8BK8Jyp71IzaAdLWGgIR0BwWdYW+GoKdX2UKGgGR8BOvgiFCb+caAdLhmgIR0BwWhgy/KyOdX2UKGgGR8BWNMkD6nBMaAdLZWgIR0BwW1B0IToMdX2UKGgGR8BbakS/TLGJaAdLbWgIR0BwW9telbeNdX2UKGgGR8BTCDmGM4tIaAdLTWgIR0BwXFGEwnIAdX2UKGgGR8BQ3wntv4ucaAdLSWgIR0BwXSMyad+YdX2UKGgGR8BRzT4tYjjaaAdLb2gIR0BwXWZAprk9dX2UKGgGR8BWIaQq7ROUaAdLbGgIR0BwXTZWaMJhdX2UKGgGR8BDAKb8WKuTaAdLSWgIR0BwXn1nM+vAdX2UKGgGR8A7CusLfDUFaAdLa2gIR0BwXpUMoc7ydX2UKGgGR0A9T9bX6InCaAdLW2gIR0BwXrnTy8SPdX2UKGgGR8BSvnvx6OYIaAdLXGgIR0BwXrDCP6sRdX2UKGgGR8BC1CuU2UB5aAdLfmgIR0BwXzNW2gFpdX2UKGgGR8BXYqtga3qiaAdLW2gIR0BwYAWAPNFCdX2UKGgGR8BTnuiFj/dZaAdLb2gIR0BwYAGMXJo1dX2UKGgGR8BNY7ah6By0aAdLjGgIR0BwYEPiDM/ydX2UKGgGR8BWsMTviLl4aAdLVWgIR0BwYO7g88s+dX2UKGgGR8BVEk7fYSQHaAdLQWgIR0BwYb0NBnjAdX2UKGgGR8BNvkELYwqRaAdLkWgIR0BwYe0b961LdX2UKGgGR8Bb8/7FbVz7aAdLiWgIR0BwYgJBw++udX2UKGgGR8Aw8J+UhV2iaAdLX2gIR0BwYsVmBe5XdX2UKGgGR8BJyH27FsHjaAdLVWgIR0BwYzjDKoycdX2UKGgGR8BJMokiUxEfaAdLS2gIR0BwY6tr9EThdX2UKGgGR8BT6uMAFPi2aAdLYmgIR0BwY9wAEMb4dX2UKGgGR0AwckNFz+3paAdLe2gIR0BwZCt4iX6ZdX2UKGgGR8BDcxc/t6X0aAdLUWgIR0BwZFDArQPadX2UKGgGR8BSNj67/XGwaAdLU2gIR0BwZGX9itq6dX2UKGgGR8BR2NYnv2GqaAdLSmgIR0BwZUmhM8HOdX2UKGgGR8BQ9nl4keIVaAdLV2gIR0BwZgc5sCT2dX2UKGgGR8BiFEsrd30PaAdLaWgIR0BwZnyVfNRndX2UKGgGR8BLbE3CKrJbaAdLfWgIR0BwZzoJRfnfdX2UKGgGR8BVcabF0gbIaAdLRGgIR0BwZ+jvd/KAdX2UKGgGR8BT6POhTOxCaAdLQmgIR0BwaDwvxpcpdX2UKGgGR8BJwMU7CBPLaAdLQWgIR0BwaFX0XgtOdX2UKGgGR8BIxQi7kGRnaAdLg2gIR0BwaRXOnl4kdX2UKGgGR8BbT1IuoP07aAdLaGgIR0BwaemygPEsdX2UKGgGR8BRxvttygf2aAdLhGgIR0BwagtpVS4wdX2UKGgGR8BYFrBbfP5YaAdLWWgIR0BwakifQKKHdX2UKGgGR8BAJ24Vh1DCaAdLfWgIR0Bwanp8neBQdX2UKGgGR8BJ4bJfYzzmaAdLgmgIR0BwapMg2ZRbdX2UKGgGR8A2dJGvwEyMaAdLg2gIR0BwatGG21D0dX2UKGgGR8BT3ynUDuBuaAdLYWgIR0BwavuPV/c4dX2UKGgGR8BUodEXtShraAdLVmgIR0BwazgOz6acdX2UKGgGR8BMvxD9fkWAaAdLU2gIR0Bwa/yVfNRndX2UKGgGR8BVGm8274BWaAdLc2gIR0BwbCw7kn1GdX2UKGgGR8AQ+rwOOKfnaAdLXWgIR0BwbEEcKgIydX2UKGgGR8BRFi0fHPu5aAdLVGgIR0BwbMQ8OkLydX2UKGgGR8A3lzQeFL39aAdLTmgIR0BwbUclw97odX2UKGgGR8BWs6dc0LtvaAdLT2gIR0BwbWfqX4TLdX2UKGgGR8BKfxEv0yxiaAdLQGgIR0BwbknhKlHjdX2UKGgGR8BUA0jxCpm3aAdLbGgIR0BwbthiLEUCdX2UKGgGR8BY1bLpzLfUaAdLRmgIR0Bwbu0KJEYwdX2UKGgGR8BNHaUaAFxGaAdLVWgIR0Bwb0RRMvh7dWUu"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 40, "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:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "n_steps": 2048, "gamma": 0.99, "gae_lambda": 0.95, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 10, "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-5.15.109+-x86_64-with-glibc2.35 # 1 SMP Fri Jun 9 10:57:30 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.0.1+cu118", "GPU Enabled": "True", "Numpy": "1.23.5", "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 0x7fb56bce9090>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fb56bce9120>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fb56bce91b0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fb56bce9240>", "_build": "<function ActorCriticPolicy._build at 0x7fb56bce92d0>", "forward": "<function ActorCriticPolicy.forward at 0x7fb56bce9360>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fb56bce93f0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fb56bce9480>", "_predict": "<function ActorCriticPolicy._predict at 0x7fb56bce9510>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fb56bce95a0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fb56bce9630>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fb56bce96c0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fb56bcec040>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1692676068309528319, "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": 350, "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:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "n_steps": 2048, "gamma": 0.99, "gae_lambda": 0.95, "ent_coef": 0.0, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 10, "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-5.15.109+-x86_64-with-glibc2.35 # 1 SMP Fri Jun 9 10:57:30 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.0.1+cu118", "GPU Enabled": "True", "Numpy": "1.23.5", "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:e85fabef94ba6673078e7faa8d0bb94b3dc249cc151213206221284191978e59
-size 146616
+oid sha256:ac5bec6ba292c74f7110d9c0dd20ffa19612322ee733049bf408782e1bb9c33e
+size 146645

ppo-LunarLander-v2/data

@@ -21,17 +21,17 @@
     },
     "verbose": 1,
     "policy_kwargs": {},
-    "num_timesteps": 131072,
-    "_total_timesteps": 100000,
+    "num_timesteps": 1015808,
+    "_total_timesteps": 1000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1692675513789373864,
+    "start_time": 1692676068309528319,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAANqU8z07PZI/8LfGPYQW277EQxk+qmzBPAAAAAAAAAAAZqKmu/0wrD9SWRe9sTi+vv8fB70WEfG9AAAAAAAAAAAa4ks9qg2vP9vJgj6QZ+y9UzQGu2SKjT0AAAAAAAAAAM1SSb64obU/8D0Pv4B9o77Kjy0+/kosvgAAAAAAAAAAzasKPfYvsj+21m09C9iKvq3vBT1OpIO9AAAAAAAAAADyRbG+j0dnPwZdpL5jdGe/YnrevglhtL4AAAAAAAAAAE1CDD0OfWQ/qJ5evZaqML9NPl8+HhcVPQAAAAAAAAAAM3tIO2qytj/DziM+IfSzPpbxqbtGyY29AAAAAAAAAADjCMC+XsTCPmJymb4/AGe/er7avfTNnD0AAAAAAAAAAKYj3j0qkIk/hGOuPuMoNL/s7jQ9jdeQPQAAAAAAAAAAmiAXPeGPmT9VB6s9ymwPv2nkFb5EPZ45AAAAAAAAAABN3dY9ipiYPuVpoT4143m/jeawvdbfcz4AAAAAAAAAAGZkIT0jHK0/1mYrPysDAL8JFma9r7pMvgAAAAAAAAAAsw8yPtuFkT9JVrw+lN4lv+5AAjuG9mU+AAAAAAAAAACD4Fe+Go+qP+IU0L7FTtW+qSX9vduPgbwAAAAAAAAAAGp0T74Pjjo/hcBPviK5hr+jZcO+cvIGvgAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg=="
+        ":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": -0.3107200000000001,
+    "_current_progress_remaining": -0.015808000000000044,
     "_stats_window_size": 100,
     "ep_info_buffer": {
         ":type:": "<class 'collections.deque'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 40,
+    "_n_updates": 350,
     "observation_space": {
         ":type:": "<class 'gymnasium.spaces.box.Box'>",
         ":serialized:": "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",

ppo-LunarLander-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:88aec146b183a15d482ce781852ceb3ef5213debc830cd8917871d6ece4b9223
+oid sha256:fc3630ebc0ac26084380450ca3ef757c1ab79222883add28bd686bb17308e7bc
 size 87929

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:eb040dfa297e5120f2cd7db6450257732d2914f061fb991a2e12ff277719e27f
+oid sha256:2a1fde5e42a8fa2ea523da1305239e889f672a90448996bbef4a7b8f6bb4f6ce
 size 43329

results.json

@@ -1 +1 @@
-{"mean_reward": -187.88552650000003, "std_reward": 53.58619556822688, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-08-22T03:45:25.403800"}
+{"mean_reward": 278.02298740000003, "std_reward": 9.760352756464677, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-08-22T04:15:48.248758"}