Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 248.79 +/- 14.32
+      value: 270.29 +/- 16.70
       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 0x7ff7ba97b160>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff7ba97b1f0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ff7ba97b280>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ff7ba97b310>", "_build": "<function ActorCriticPolicy._build at 0x7ff7ba97b3a0>", "forward": "<function ActorCriticPolicy.forward at 0x7ff7ba97b430>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7ff7ba97b4c0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ff7ba97b550>", "_predict": "<function ActorCriticPolicy._predict at 0x7ff7ba97b5e0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ff7ba97b670>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ff7ba97b700>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ff7ba97b790>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7ff7ba974080>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1682296605912317386, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_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 '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, "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-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.8.0", "PyTorch": "2.0.0+cu118", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}
+{"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 0x7ff7ba97b160>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff7ba97b1f0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7ff7ba97b280>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7ff7ba97b310>", "_build": "<function ActorCriticPolicy._build at 0x7ff7ba97b3a0>", "forward": "<function ActorCriticPolicy.forward at 0x7ff7ba97b430>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7ff7ba97b4c0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7ff7ba97b550>", "_predict": "<function ActorCriticPolicy._predict at 0x7ff7ba97b5e0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7ff7ba97b670>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7ff7ba97b700>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7ff7ba97b790>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7ff7ba974080>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1507328, "_total_timesteps": 1500000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1682298996741628545, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_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": -0.004885333333333408, "_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": 616, "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, "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-5.10.147+-x86_64-with-glibc2.31 # 1 SMP Sat Dec 10 16:00:40 UTC 2022", "Python": "3.9.16", "Stable-Baselines3": "1.8.0", "PyTorch": "2.0.0+cu118", "GPU Enabled": "True", "Numpy": "1.22.4", "Gym": "0.21.0"}}

ppo-LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e8c4970a71651b4b7f238e085db049215707220e0bbeaf228931c4f4b3cc0457
-size 147391
+oid sha256:9ae9bfa9b54d32541b12855763a14b983a432d71dd58d8884f2f2a08f33df40a
+size 147283

ppo-LunarLander-v2/data

@@ -21,12 +21,12 @@
     },
     "verbose": 1,
     "policy_kwargs": {},
-    "num_timesteps": 1015808,
-    "_total_timesteps": 1000000,
+    "num_timesteps": 1507328,
+    "_total_timesteps": 1500000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1682296605912317386,
+    "start_time": 1682298996741628545,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -35,7 +35,7 @@
     },
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "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"
+        ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAANrzsb3/Yo4+AcmXPYo1qL7byw68kZuPPQAAAAAAAAAA5jlZveG7gj+ujxS+PYEav8zsgb3aCEC8AAAAAAAAAADmC/I9FQLMPtpcgb257Lu+8/6MPY0vob0AAAAAAAAAANrebT7wmPA+8tbJvpOr7L5X/U49CB92vgAAAAAAAAAA5lxkvrw5Xj5nWS4+fTqMvuIM1b2NLSY9AAAAAAAAAAAAtU+90j2+P0Oc3b4MmS8+mNuAvJr6Cr4AAAAAAAAAAMAAE74ooI0+YklkPgtfZ75UZFg9zre+PQAAAAAAAAAAzf5nPBQKiLpg906zFnu3r+jaFjsgC8kzAACAPwAAgD8APoY9AIiyP+wODj8EG0u+hR1qOg6jKT4AAAAAAAAAAJqpgro424G7QpWwut6+gzzOo9I8Y1ZivQAAgD8AAIA/JqTtvSBRID9OR0W9S7nMvp9gjb3AShY8AAAAAAAAAAAApZK8j3dBvD/pyjwNAyM9jLevvSN3Aj4AAIA/AACAP01UK70i3ws/boJXvL6f1L6aY3q9JNRGvQAAAAAAAAAADZ6DPcOpE7qpgje1xGUzL20kTDv9ZFE0AACAPwAAgD9zkeW9umErPuJJOT77H4C+QaYYPbUdsD0AAAAAAAAAAABrqbyuxai6EjUAOF4q6TJuwmY6uv0StwAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg=="
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -45,17 +45,17 @@
     "_episode_num": 0,
     "use_sde": false,
     "sde_sample_freq": -1,
-    "_current_progress_remaining": -0.015808000000000044,
+    "_current_progress_remaining": -0.004885333333333408,
     "_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": 248,
+    "_n_updates": 616,
     "observation_space": {
         ":type:": "<class 'gym.spaces.box.Box'>",
         ":serialized:": "gAWVnwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAAAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/5RoCksIhZSMAUOUdJRSlIwEaGlnaJRoEiiWIAAAAAAAAAAAAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAf5RoCksIhZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolggAAAAAAAAAAAAAAAAAAACUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYIAAAAAAAAAAAAAAAAAAAAlGghSwiFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu",

ppo-LunarLander-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d283af24e0f26b7d3e17e5be34d5d4ad4d1768c3c5edba2ff51a6ff5640dbd86
+oid sha256:a81975958305b4b214e0ed86b6877f21f12371fa250039a61155d3b85b35d281
 size 87929

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:58b284a893624fc110fd370f67969a3b951f3a710ddad23e69673f368fcb0067
+oid sha256:806d09565b9771c47d19976763a4ffee50017217189317e97e9b0a680cbcdaf7
 size 43329

results.json

@@ -1 +1 @@
-{"mean_reward": 248.79315472014673, "std_reward": 14.316773136629129, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-24T01:07:04.164795"}
+{"mean_reward": 270.2944275751079, "std_reward": 16.699076112620972, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-04-24T01:36:52.395323"}