first RL

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -13.36 +/- 103.91
+      value: 254.46 +/- 14.08
       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 0x7d6756729d80>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7d6756729e10>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7d6756729ea0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7d6756729f30>", "_build": "<function ActorCriticPolicy._build at 0x7d6756729fc0>", "forward": "<function ActorCriticPolicy.forward at 0x7d675672a050>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7d675672a0e0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7d675672a170>", "_predict": "<function ActorCriticPolicy._predict at 0x7d675672a200>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7d675672a290>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7d675672a320>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7d675672a3b0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7d675671ba40>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 114688, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1702453283630829924, "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": -0.1468799999999999, "_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": 28, "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": 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-5.15.120+-x86_64-with-glibc2.35 # 1 SMP Wed Aug 30 11:19:59 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.1.0+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 0x7d6756729d80>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7d6756729e10>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7d6756729ea0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7d6756729f30>", "_build": "<function ActorCriticPolicy._build at 0x7d6756729fc0>", "forward": "<function ActorCriticPolicy.forward at 0x7d675672a050>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7d675672a0e0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7d675672a170>", "_predict": "<function ActorCriticPolicy._predict at 0x7d675672a200>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7d675672a290>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7d675672a320>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7d675672a3b0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7d675671ba40>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1702453503672081021, "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:": "gAWV1QAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlE51Yi4=", "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-5.15.120+-x86_64-with-glibc2.35 # 1 SMP Wed Aug 30 11:19:59 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.1.0+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 sha256:4b451dda4c5d8052435d929f30891a8e7a171d768a3da930e145030407097871
-size 147921
+oid sha256:1d13aaab937afb2b00149d1873ae42ce51b3ccc6f1899503eba2de50a205aea5
+size 148046

ppo-LunarLander-v2/data

@@ -21,17 +21,17 @@
     },
     "verbose": 1,
     "policy_kwargs": {},
-    "num_timesteps": 114688,
-    "_total_timesteps": 100000,
+    "num_timesteps": 1015808,
+    "_total_timesteps": 1000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1702453283630829924,
+    "start_time": 1702453503672081021,
     "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": -0.1468799999999999,
+    "_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": 28,
+    "_n_updates": 248,
     "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 sha256:2a5bda89aed440018fe2a4e16e09ff96aaa7dfe2e24b76b07f871cdea5c00399
+oid sha256:4f6425f4cdd503dc1050c9302f28bb49e48e8947cbc6632a807321bfcb113a3a
 size 88362

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9b08adc7f4061a2fed8c22dceca3a38057d401290d7604050448c1dc1c0a4574
+oid sha256:cc26a364f4653e6f89f8760f7f4eb83d41da62151ebe2e4e27bbee178471bb99
 size 43762

results.json

@@ -1 +1 @@
-{"mean_reward": -13.361812499999996, "std_reward": 103.90564102034477, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-12-13T07:43:47.475445"}
+{"mean_reward": 254.4571093, "std_reward": 14.081519712015037, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-12-13T08:09:45.248641"}