PPO Model v2

README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: 274.07 +/- 17.78
+      value: 295.15 +/- 17.69
       name: mean_reward
     task:
       type: reinforcement-learning

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 sde_net_arch: Network architecture for extracting features\n        when using gSDE. If None, the latent features from the policy will be used.\n        Pass an empty list to use the states as features.\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 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 0x7f1d072b64c0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f1d072b6550>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f1d072b65e0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f1d072b6670>", "_build": "<function ActorCriticPolicy._build at 0x7f1d072b6700>", "forward": "<function ActorCriticPolicy.forward at 0x7f1d072b6790>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f1d072b6820>", "_predict": "<function ActorCriticPolicy._predict at 0x7f1d072b68b0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f1d072b6940>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f1d072b69d0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f1d072b6a60>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f1d19845ed0>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVaAAAAAAAAAB9lCiMDWFjdGl2YXRpb25fZm6UjBt0b3JjaC5ubi5tb2R1bGVzLmFjdGl2YXRpb26UjARSZUxVlJOUjAhuZXRfYXJjaJRdlH2UKIwCcGmUXZQoSyBLEGWMAnZmlF2UKEsgSxBldWF1Lg==", "activation_fn": "<class 'torch.nn.modules.activation.ReLU'>", "net_arch": [{"pi": [32, 16], "vf": [32, 16]}]}, "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": 32, "num_timesteps": 5144576, "_total_timesteps": 5112808, "_num_timesteps_at_start": 5111808, "seed": null, "action_noise": null, "start_time": 1651894899.876627, "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:": "gAWVkwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksghZSMAUOUdJRSlC4="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.0062134154069544145, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 1256, "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": 8, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.29 #1 SMP Wed Aug 25 23:20:18 UTC 2021", "Python": "3.8.10", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.0", "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 sde_net_arch: Network architecture for extracting features\n        when using gSDE. If None, the latent features from the policy will be used.\n        Pass an empty list to use the states as features.\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 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 0x7f1d072b64c0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f1d072b6550>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f1d072b65e0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f1d072b6670>", "_build": "<function ActorCriticPolicy._build at 0x7f1d072b6700>", "forward": "<function ActorCriticPolicy.forward at 0x7f1d072b6790>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f1d072b6820>", "_predict": "<function ActorCriticPolicy._predict at 0x7f1d072b68b0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f1d072b6940>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f1d072b69d0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f1d072b6a60>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f1d19845ed0>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVaAAAAAAAAAB9lCiMDWFjdGl2YXRpb25fZm6UjBt0b3JjaC5ubi5tb2R1bGVzLmFjdGl2YXRpb26UjARSZUxVlJOUjAhuZXRfYXJjaJRdlH2UKIwCcGmUXZQoSyBLEGWMAnZmlF2UKEsgSxBldWF1Lg==", "activation_fn": "<class 'torch.nn.modules.activation.ReLU'>", "net_arch": [{"pi": [32, 16], "vf": [32, 16]}]}, "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": 32, "num_timesteps": 2162688, "_total_timesteps": 2146880, "_num_timesteps_at_start": 1146880, "seed": null, "action_noise": null, "start_time": 1651871134.8585863, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVfwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAEsBSwFLE0MEiABTAJROhZQpjAFflIWUjE8vaG9tZS9icmFkLy5sb2NhbC9saWIvcHl0aG9uMy44L3NpdGUtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLgEMCAAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flGgNdU5OaACMEF9tYWtlX2VtcHR5X2NlbGyUk5QpUpSFlHSUUpSMHGNsb3VkcGlja2xlLmNsb3VkcGlja2xlX2Zhc3SUjBJfZnVuY3Rpb25fc2V0c3RhdGWUk5RoH32UfZQoaBdoDowMX19xdWFsbmFtZV9flIwZY29uc3RhbnRfZm4uPGxvY2Fscz4uZnVuY5SMD19fYW5ub3RhdGlvbnNfX5R9lIwOX19rd2RlZmF1bHRzX1+UTowMX19kZWZhdWx0c19flE6MCl9fbW9kdWxlX1+UaBiMB19fZG9jX1+UTowLX19jbG9zdXJlX1+UaACMCl9tYWtlX2NlbGyUk5RHPzOpKjBVMmGFlFKUhZSMF19jbG91ZHBpY2tsZV9zdWJtb2R1bGVzlF2UjAtfX2dsb2JhbHNfX5R9lHWGlIZSMC4="}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVkwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksghZSMAUOUdJRSlC4="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.007363243404382214, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 528, "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": 8, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "system_info": {"OS": "Linux-5.10.60.1-microsoft-standard-WSL2-x86_64-with-glibc2.29 #1 SMP Wed Aug 25 23:20:18 UTC 2021", "Python": "3.8.10", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.0", "Gym": "0.21.0"}}

ppo-LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b7ca47873684c57cbbf056432bb7cb0f05fe93df8046cc4514e55e34ec5dea09
-size 48115
+oid sha256:b66bcb164cfa9b28112deda5c61e8c98c239fb141f6ccfadd76903c570ef4929
+size 48110

ppo-LunarLander-v2/data

@@ -58,12 +58,12 @@
         "_np_random": null
     },
     "n_envs": 32,
-    "num_timesteps": 5144576,
-    "_total_timesteps": 5112808,
-    "_num_timesteps_at_start": 5111808,
+    "num_timesteps": 2162688,
+    "_total_timesteps": 2146880,
+    "_num_timesteps_at_start": 1146880,
     "seed": null,
     "action_noise": null,
-    "start_time": 1651894899.876627,
+    "start_time": 1651871134.8585863,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -72,7 +72,7 @@
     },
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -82,16 +82,16 @@
     "_episode_num": 0,
     "use_sde": false,
     "sde_sample_freq": -1,
-    "_current_progress_remaining": -0.0062134154069544145,
+    "_current_progress_remaining": -0.007363243404382214,
     "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": 1256,
+    "_n_updates": 528,
     "n_steps": 1024,
     "gamma": 0.999,
     "gae_lambda": 0.98,

ppo-LunarLander-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cdb932570447279adff5cdb56e26444872690ae0f0d061549d68f7e8a48ce913
+oid sha256:66de3e6a037ca18a649ceccbaeab308a341e9a1895ac9fe83605ab43a41339a6
 size 20253

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5b4535081009c58bc4340f345b28aa9caa69f804808beda5c753836b6e384923
+oid sha256:ad8c1cd846624791f101651986b122062c2a02f14cc7a9a7774374a2b06745c1
 size 10881

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2e306452bb589a5a6df3b1171e3c55a00da18dc56c8beab549ca1ede27f00509
-size 182873
+oid sha256:50787767fea0019bb36a8326da32beb9cbb2e27d16e6916684eb2096268db212
+size 177690

results.json

@@ -1 +1 @@
-{"mean_reward": 274.0679632045859, "std_reward": 17.77957380900077, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-05-06T21:42:37.399747"}
+{"mean_reward": 295.15311216892576, "std_reward": 17.687421682867253, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-05-09T22:41:36.723219"}