Upload model: PPO-LunarLander-v2, version: 9.000000

PPO-LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6b4d07ba2e4fbc6f60bf309260fff5b45c41ea034a20acffaf1d47b356c368c8
+oid sha256:3355dca381a8eae8e58c0df86a30c24147ad396e50f38ad09998b4fb3f034cb4
 size 143987

PPO-LunarLander-v2/data

@@ -47,7 +47,7 @@
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1651840369.2020814,
+    "start_time": 1651842307.2264516,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -56,11 +56,11 @@
     },
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "gAWVdQIAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAgAAAAAAACZnz71xnTY/bAU5vX5HM7/T1DC+mMObOwAAAAAAAAAAM9NpPFLl/bv74Vm9P4lrPeLfXD0JDBO7AACAPwAAgD9gBSM+wz25PqPXW77xdRW/7fJzPhOxfr4AAAAAAAAAAGbiAT1DjA68zf9hOwnqfjwAx3W9UPFVPQAAgD8AAIA/mg1JvE/3MbxHF0O85z4BPXR1g70Fqnq5AACAPwAAgD9mgBw99qVRvCSXpLzJ/6I8BPC/vcYehD0AAIA/AACAP5oE0LxSD++7domjPUL5ZT0BaD+9iotpuwAAgD8AAIA/TWWoPVIw2DrQB+q+rD5LvnqVFb4wClM/AACAPwAAAAAAeJW7SOOpusBhjjIn7caxhVAeuhZQkLIAAIA/AACAPw0otj1e9u89zxeVviMJ8r6LBBa+bKE0vgAAAAAAAAAAWlbNvaiSgD+rW2e+Bl4ov20Lbr4PSQ6+AAAAAAAAAABGdSC+s8OKP5Lb9L4ifgu/oTmmvgv1sL4AAAAAAAAAALMowr235xA+ZhmuPlYyx74YjLs9UbNJPgAAAAAAAAAA2pcfvqH0iD+cor2+apkzv4N8pb6oxXu+AAAAAAAAAAAa+5493ygaP1MUort9lSK/F182PolzAjwAAAAAAAAAAE1Rg72LVJ0/qw1/vtb8F78l8QK+pvU0vgAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwiGlIwBQ5R0lFKULg=="
+        ":serialized:": "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"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
+        ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAABAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
     },
     "_last_original_obs": null,
     "_episode_num": 0,
@@ -69,13 +69,13 @@
     "_current_progress_remaining": -0.007616000000000067,
     "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": 1764,
+    "_n_updates": 2256,
     "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 sha256:88a8b9b7698de5120c9a221af3e4bb2a67f28648b7255679136cee80986f0a69
+oid sha256:1077dd7b6e0fd852314f97ebd9c0e62eab0b386454d8fba857a48506af624358
 size 84893

PPO-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:79026141e2f916467fd3c49a8ef615d2d54c75926c5896b309da614030f18954
+oid sha256:b9a0f409d049a14c6bb3ea454abffc96e8763305897b4fcb6903ad0788393420
 size 43201

README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: 279.83 +/- 17.31
+      value: 289.70 +/- 14.05
       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 0x7fdc8ed5cd40>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fdc8ed5cdd0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fdc8ed5ce60>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fdc8ed5cef0>", "_build": "<function ActorCriticPolicy._build at 0x7fdc8ed5cf80>", "forward": "<function ActorCriticPolicy.forward at 0x7fdc8ed62050>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fdc8ed620e0>", "_predict": "<function ActorCriticPolicy._predict at 0x7fdc8ed62170>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fdc8ed62200>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fdc8ed62290>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fdc8ed62320>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fdc8edae570>"}, "verbose": 1, "policy_kwargs": {}, "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, "num_timesteps": 2015232, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1651840369.2020814, "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": -0.007616000000000067, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 1764, "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-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "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 0x7fdc8ed5cd40>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fdc8ed5cdd0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fdc8ed5ce60>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fdc8ed5cef0>", "_build": "<function ActorCriticPolicy._build at 0x7fdc8ed5cf80>", "forward": "<function ActorCriticPolicy.forward at 0x7fdc8ed62050>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fdc8ed620e0>", "_predict": "<function ActorCriticPolicy._predict at 0x7fdc8ed62170>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fdc8ed62200>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fdc8ed62290>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fdc8ed62320>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fdc8edae570>"}, "verbose": 1, "policy_kwargs": {}, "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, "num_timesteps": 2015232, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1651842307.2264516, "learning_rate": 0.0003, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVvwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAUsBSxNDBIgAUwCUToWUKYwBX5SFlIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLgEMCAAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCB9lH2UKGgXaA6MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgYjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAABAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.007616000000000067, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 2256, "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-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.5.0", "PyTorch": "1.11.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a8e7f1298be6f47d27b5d1e2dafda934e95defc0a412970f51449d0ae29f53cf
-size 180997
+oid sha256:15638a91910872686f0285379c06192f9df92b6e4ed56f5fb422775d2daf2acf
+size 184577

results.json

@@ -1 +1 @@
-{"mean_reward": 279.82561914139467, "std_reward": 17.3087147319887, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-05-06T13:03:30.456410"}
+{"mean_reward": 289.70425930758853, "std_reward": 14.05299451017525, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-05-06T13:34:14.358252"}