Upload PPO LunarLander-V2 trained agent

README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: 265.09 +/- 18.73
+      value: 267.23 +/- 21.28
       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 0x7fba30e20710>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fba30e207a0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fba30e20830>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fba30e208c0>", "_build": "<function ActorCriticPolicy._build at 0x7fba30e20950>", "forward": "<function ActorCriticPolicy.forward at 0x7fba30e209e0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fba30e20a70>", "_predict": "<function ActorCriticPolicy._predict at 0x7fba30e20b00>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fba30e20b90>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fba30e20c20>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fba30e20cb0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7fba30e6b840>"}, "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": 24, "num_timesteps": 1007616, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1652060990.6832309, "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:": "gAWViwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJSMBW51bXB5lIwFZHR5cGWUk5SMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLGIWUjAFDlHSUUpQu"}, "_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": 328, "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-5.4.188+-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 0x7f185c236c20>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f185c236cb0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f185c236d40>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f185c236dd0>", "_build": "<function ActorCriticPolicy._build at 0x7f185c236e60>", "forward": "<function ActorCriticPolicy.forward at 0x7f185c236ef0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f185c236f80>", "_predict": "<function ActorCriticPolicy._predict at 0x7f185c237050>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f185c2370e0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f185c237170>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f185c237200>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f185c2849c0>"}, "verbose": 1, "policy_kwargs": {}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "gAWVnwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWIAAAAAAAAAAAAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/AACA/5RoCksIhZSMAUOUdJRSlIwEaGlnaJRoEiiWIAAAAAAAAAAAAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/AACAf5RoCksIhZRoFXSUUpSMDWJvdW5kZWRfYmVsb3eUaBIolggAAAAAAAAAAAAAAAAAAACUaAeMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLCIWUaBV0lFKUjA1ib3VuZGVkX2Fib3ZllGgSKJYIAAAAAAAAAAAAAAAAAAAAlGghSwiFlGgVdJRSlIwKX25wX3JhbmRvbZROdWIu", "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": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1652141717.820994, "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": -0.015808000000000044, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 186, "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": 6, "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"}}

ppo_LunarLander-v2.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d7534cd5c0b4654f362f5e5a3a247476c0164e9cc62c327bfc02b99a93fc21fb
-size 144442
+oid sha256:48c231c01ad4d0299877949cf5b93bce4f5ecdac1d8a0884b342bdc5534e7f91
+size 144813

ppo_LunarLander-v2/data

@@ -4,19 +4,19 @@
         ":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 0x7fba30e20710>",
-        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fba30e207a0>",
-        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fba30e20830>",
-        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fba30e208c0>",
-        "_build": "<function ActorCriticPolicy._build at 0x7fba30e20950>",
-        "forward": "<function ActorCriticPolicy.forward at 0x7fba30e209e0>",
-        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fba30e20a70>",
-        "_predict": "<function ActorCriticPolicy._predict at 0x7fba30e20b00>",
-        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fba30e20b90>",
-        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fba30e20c20>",
-        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fba30e20cb0>",
+        "__init__": "<function ActorCriticPolicy.__init__ at 0x7f185c236c20>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f185c236cb0>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f185c236d40>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f185c236dd0>",
+        "_build": "<function ActorCriticPolicy._build at 0x7f185c236e60>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7f185c236ef0>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f185c236f80>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7f185c237050>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f185c2370e0>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f185c237170>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7f185c237200>",
         "__abstractmethods__": "frozenset()",
-        "_abc_impl": "<_abc_data object at 0x7fba30e6b840>"
+        "_abc_impl": "<_abc_data object at 0x7f185c2849c0>"
     },
     "verbose": 1,
     "policy_kwargs": {},
@@ -41,13 +41,13 @@
         "dtype": "int64",
         "_np_random": null
     },
-    "n_envs": 24,
-    "num_timesteps": 1007616,
+    "n_envs": 32,
+    "num_timesteps": 1015808,
     "_total_timesteps": 1000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1652060990.6832309,
+    "start_time": 1652141717.820994,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "lr_schedule": {
@@ -56,26 +56,26 @@
     },
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "gAWViwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJSMBW51bXB5lIwFZHR5cGWUk5SMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLGIWUjAFDlHSUUpQu"
+        ":serialized:": "gAWVkwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlIwFbnVtcHmUjAVkdHlwZZSTlIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksghZSMAUOUdJRSlC4="
     },
     "_last_original_obs": null,
     "_episode_num": 0,
     "use_sde": false,
     "sde_sample_freq": -1,
-    "_current_progress_remaining": -0.007616000000000067,
+    "_current_progress_remaining": -0.015808000000000044,
     "ep_info_buffer": {
         ":type:": "<class 'collections.deque'>",
-        ":serialized:": "gAWVcRAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCZjiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMI8E4+PbacU0CUhpRSlIwBbJRLqYwBdJRHQJKDvHeaa1F1fZQoaAZoCWgPQwhj8gaY+cVlQJSGlFKUaBVN6ANoFkdAkogCi/O+qXV9lChoBmgJaA9DCBSTN8BM2mZAlIaUUpRoFU3oA2gWR0CSiDJsfq5cdX2UKGgGaAloD0MIPQytTo4/cECUhpRSlGgVS/doFkdAkopcKCxu9HV9lChoBmgJaA9DCEQ1JVkHmGZAlIaUUpRoFU3oA2gWR0CSwX2IwdsBdX2UKGgGaAloD0MILGUZ4liuXkCUhpRSlGgVTegDaBZHQJLDuJemelN1fZQoaAZoCWgPQwhbejTVU7lyQJSGlFKUaBVNAQNoFkdAksXA++ueSXV9lChoBmgJaA9DCGgHXFcMJXFAlIaUUpRoFU0FA2gWR0CSy6nTRYzSdX2UKGgGaAloD0MIZ5lFKDYdaECUhpRSlGgVTegDaBZHQJLMdOoHcDd1fZQoaAZoCWgPQwjM0eP3doNwQJSGlFKUaBVNHAJoFkdAksyXS0BwM3V9lChoBmgJaA9DCIjaNowC22NAlIaUUpRoFU3oA2gWR0CSzSA6dUbUdX2UKGgGaAloD0MIwTv59FicbkCUhpRSlGgVTUgDaBZHQJLQx3GGVRl1fZQoaAZoCWgPQwiKjuTyH7BWQJSGlFKUaBVLumgWR0CS0MiEQGwBdX2UKGgGaAloD0MI3uNME/ahcUCUhpRSlGgVTVcDaBZHQJLRBOSGJvZ1fZQoaAZoCWgPQwgM6fAQRvJuQJSGlFKUaBVNXAFoFkdAktFiDIzWPXV9lChoBmgJaA9DCNiDSfFx/WJAlIaUUpRoFU3oA2gWR0CS0w8kleF+dX2UKGgGaAloD0MIY/IGmHnLaECUhpRSlGgVTegDaBZHQJLT81AJLM91fZQoaAZoCWgPQwg900uMJWhxQJSGlFKUaBVN3QJoFkdAktVhWLgn+nV9lChoBmgJaA9DCAjHLHsSVWJAlIaUUpRoFU3oA2gWR0CS15sMiKR/dX2UKGgGaAloD0MIKPG5E+zJZ0CUhpRSlGgVTegDaBZHQJLYfRE4Nqh1fZQoaAZoCWgPQwhl/zwNGF5KQJSGlFKUaBVLvWgWR0CS3ALPldTpdX2UKGgGaAloD0MIpkboZ+rjQECUhpRSlGgVS8VoFkdAktxEi+tbLXV9lChoBmgJaA9DCB4bgXjdiXFAlIaUUpRoFU1wA2gWR0CS3TJSBK+SdX2UKGgGaAloD0MIbR0c7E2rZkCUhpRSlGgVTegDaBZHQJLeR8iOeat1fZQoaAZoCWgPQwid9/9xgnxxQJSGlFKUaBVN5wFoFkdAkuB7y1/lQ3V9lChoBmgJaA9DCC6rsBkg43BAlIaUUpRoFU3XAmgWR0CS4R1eSjgydX2UKGgGaAloD0MIud42UyEkZkCUhpRSlGgVTegDaBZHQJLhewpvxYt1fZQoaAZoCWgPQwhSgZNtoF1xQJSGlFKUaBVNxAJoFkdAkuJFfqoqC3V9lChoBmgJaA9DCFuYhXbOiGVAlIaUUpRoFU3oA2gWR0CS67pFCswMdX2UKGgGaAloD0MIEyf3OxR0UECUhpRSlGgVS6poFkdAkuzl2q1gIHV9lChoBmgJaA9DCHuEmiGVLHBAlIaUUpRoFU3GA2gWR0CS8AQtz0YkdX2UKGgGaAloD0MIpWWk3tOkbUCUhpRSlGgVTSIBaBZHQJLypGXokiV1fZQoaAZoCWgPQwg8LT9wlU9yQJSGlFKUaBVNnwFoFkdAkvTSh37k4nV9lChoBmgJaA9DCOAtkKD4SHFAlIaUUpRoFU0PAmgWR0CS+QkMkQf7dX2UKGgGaAloD0MIwjOhSeK+b0CUhpRSlGgVTfgBaBZHQJL6QQarFOx1fZQoaAZoCWgPQwi+2HvxhV1yQJSGlFKUaBVNZgJoFkdAkvw/IsAeaXV9lChoBmgJaA9DCAx2w7bFEGJAlIaUUpRoFU3oA2gWR0CS/Lcx0uDjdX2UKGgGaAloD0MIs5quJzpVc0CUhpRSlGgVTYUBaBZHQJL9agmJFb51fZQoaAZoCWgPQwgdIm5OpcdkQJSGlFKUaBVN6ANoFkdAkv9AYLsru3V9lChoBmgJaA9DCHS2gNC6qHFAlIaUUpRoFUv/aBZHQJL/UNmUW2x1fZQoaAZoCWgPQwji578HL7pmQJSGlFKUaBVN6ANoFkdAkzZLVWjoIXV9lChoBmgJaA9DCK7X9KDgeXFAlIaUUpRoFU0SAmgWR0CTNms90RvndX2UKGgGaAloD0MIsoUgB+WFcUCUhpRSlGgVTTIDaBZHQJM2qmIj4Yd1fZQoaAZoCWgPQwjTvrm/ekxzQJSGlFKUaBVN5AFoFkdAkzbZuMuOCHV9lChoBmgJaA9DCNrKS/4nRnFAlIaUUpRoFU3LAWgWR0CTNxHD7655dX2UKGgGaAloD0MIpgnbTwYuc0CUhpRSlGgVTTgDaBZHQJM3If7rLQp1fZQoaAZoCWgPQwjtYwW/DSU4QJSGlFKUaBVLZmgWR0CTNyHP/rB1dX2UKGgGaAloD0MIwQEtXQGwckCUhpRSlGgVTfMCaBZHQJM3L2PDHfd1fZQoaAZoCWgPQwjcf2Q69ExuQJSGlFKUaBVNTAJoFkdAkzirQkX1rnV9lChoBmgJaA9DCOVk4lZB3G5AlIaUUpRoFU1KAWgWR0CTOiMlTm4idX2UKGgGaAloD0MIyqmdYSrUcECUhpRSlGgVTcADaBZHQJM9Lmjj7yh1fZQoaAZoCWgPQwhtcCL6tQdJQJSGlFKUaBVLxGgWR0CTPjmwaBI4dX2UKGgGaAloD0MI4pLjTumnckCUhpRSlGgVTXwBaBZHQJM+fx5LRKJ1fZQoaAZoCWgPQwjE6o8wjGpvQJSGlFKUaBVNGgFoFkdAkz6ysGPgenV9lChoBmgJaA9DCA/W/zlMJm5AlIaUUpRoFU1jA2gWR0CTP4kFwDNhdX2UKGgGaAloD0MIfnIUIIqPZkCUhpRSlGgVTegDaBZHQJNAf2i+L3t1fZQoaAZoCWgPQwi+TX/2I0JyQJSGlFKUaBVL9mgWR0CTQNRmseXBdX2UKGgGaAloD0MIlpLlJBRSb0CUhpRSlGgVTSwBaBZHQJNBbuYx+KF1fZQoaAZoCWgPQwjhJM0f09FkQJSGlFKUaBVN6ANoFkdAk0QBpcophHV9lChoBmgJaA9DCMI0DB9R8XFAlIaUUpRoFU0SAWgWR0CTROkTHsC1dX2UKGgGaAloD0MIsW8nESFXckCUhpRSlGgVTS0BaBZHQJNGQ63iJfp1fZQoaAZoCWgPQwgAVHHjVlFwQJSGlFKUaBVN/QFoFkdAk0ZbvoePrHV9lChoBmgJaA9DCHIz3ICPSXBAlIaUUpRoFU19A2gWR0CTR7w5eZ5SdX2UKGgGaAloD0MILgCN0mVwcECUhpRSlGgVTZICaBZHQJNH1xtHhCN1fZQoaAZoCWgPQwjSU+QQcUZzQJSGlFKUaBVNbAFoFkdAk0jqgIyCWnV9lChoBmgJaA9DCJ4lyAjoAnBAlIaUUpRoFU2EAWgWR0CTSgGlQ/HHdX2UKGgGaAloD0MIjPLMy+EHb0CUhpRSlGgVS/FoFkdAk0rNNN8E3nV9lChoBmgJaA9DCD82yY/4hnJAlIaUUpRoFU1PAWgWR0CTSxe3x4IKdX2UKGgGaAloD0MI3xgCgGPickCUhpRSlGgVTQIBaBZHQJNLbux8lX11fZQoaAZoCWgPQwgXZMvydfE/QJSGlFKUaBVLyWgWR0CTS4e67NB4dX2UKGgGaAloD0MIHlGhujkqcUCUhpRSlGgVTXcBaBZHQJNLh5Pdl/Z1fZQoaAZoCWgPQwgz3eukPjBxQJSGlFKUaBVNHAFoFkdAk07t8Aq/d3V9lChoBmgJaA9DCFqcMcyJDnNAlIaUUpRoFU1EAmgWR0CTT/eK8+RpdX2UKGgGaAloD0MIu/JZngdHTkCUhpRSlGgVS7toFkdAk1E4L1EmY3V9lChoBmgJaA9DCNriGp/JT3BAlIaUUpRoFU2eAmgWR0CTUTkFOfukdX2UKGgGaAloD0MIXwt6b8yVcUCUhpRSlGgVTRACaBZHQJNRgHfMwDh1fZQoaAZoCWgPQwhe9YB5yKBIQJSGlFKUaBVLqWgWR0CTUx8+RoysdX2UKGgGaAloD0MIuTZUjHNUcECUhpRSlGgVTRABaBZHQJNTxAcDKYB1fZQoaAZoCWgPQwhrSrIOR6MyQJSGlFKUaBVLtmgWR0CTVHxGDtgKdX2UKGgGaAloD0MIVK2FWWincUCUhpRSlGgVTSIBaBZHQJNUuhnJ1aJ1fZQoaAZoCWgPQwjqI/CHHwhxQJSGlFKUaBVNXQJoFkdAk1VdkauOj3V9lChoBmgJaA9DCBTtKqQ8HXBAlIaUUpRoFU2/AWgWR0CTVpf6oESvdX2UKGgGaAloD0MIilbuBWYubUCUhpRSlGgVTQMCaBZHQJNZDLIPsiV1fZQoaAZoCWgPQwi85lWdFWFyQJSGlFKUaBVNGQFoFkdAk1k/boKUmnV9lChoBmgJaA9DCD3uW60TF3JAlIaUUpRoFU0IAWgWR0CTW/Kcd5prdX2UKGgGaAloD0MI4NdIEoTvbUCUhpRSlGgVTQYCaBZHQJNdyuvECNl1fZQoaAZoCWgPQwhFveDTHLZvQJSGlFKUaBVNegJoFkdAk13W+PBBRnV9lChoBmgJaA9DCC6RC85g825AlIaUUpRoFU0EAWgWR0CTXnJpnHvMdX2UKGgGaAloD0MIINWw35Mlc0CUhpRSlGgVTbABaBZHQJNfeGYa5wx1fZQoaAZoCWgPQwhAbOnRVEVNQJSGlFKUaBVLyGgWR0CTYKvHcUM5dX2UKGgGaAloD0MI4IYYr/nBbkCUhpRSlGgVTSEBaBZHQJNiNz0Yj0N1fZQoaAZoCWgPQwj8U6pEWXZxQJSGlFKUaBVNKAJoFkdAk2NXTd+G5HV9lChoBmgJaA9DCEFIFjABH29AlIaUUpRoFU2BAWgWR0CTZHs+V1OkdX2UKGgGaAloD0MItaM4Rx1ackCUhpRSlGgVTYMCaBZHQJNlC3NLUTd1fZQoaAZoCWgPQwhu+x71F91zQJSGlFKUaBVNPAJoFkdAk2WYXCTEBXV9lChoBmgJaA9DCJCHvruVk29AlIaUUpRoFU1fAWgWR0CTZiRsMy8BdX2UKGgGaAloD0MIumddoyX0cUCUhpRSlGgVTcgBaBZHQJNmyCUX5311fZQoaAZoCWgPQwjayHVTij9yQJSGlFKUaBVNkAFoFkdAk2cqAvtdA3V9lChoBmgJaA9DCMk+yLJg/WRAlIaUUpRoFU3oA2gWR0CTaFOrhisodX2UKGgGaAloD0MIIZOMnIXBZkCUhpRSlGgVTegDaBZHQJNov+aScLB1ZS4="
+        ":serialized:": "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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 328,
+    "_n_updates": 186,
     "n_steps": 1024,
     "gamma": 0.999,
     "gae_lambda": 0.98,
@@ -83,7 +83,7 @@
     "vf_coef": 0.5,
     "max_grad_norm": 0.5,
     "batch_size": 64,
-    "n_epochs": 8,
+    "n_epochs": 6,
     "clip_range": {
         ":type:": "<class 'function'>",
         ":serialized:": "gAWVvwIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwNX2J1aWx0aW5fdHlwZZSTlIwKTGFtYmRhVHlwZZSFlFKUKGgCjAhDb2RlVHlwZZSFlFKUKEsBSwBLAUsBSxNDBIgAUwCUToWUKYwBX5SFlIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lIwEZnVuY5RLgEMCAAGUjAN2YWyUhZQpdJRSlH2UKIwLX19wYWNrYWdlX1+UjBhzdGFibGVfYmFzZWxpbmVzMy5jb21tb26UjAhfX25hbWVfX5SMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi51dGlsc5SMCF9fZmlsZV9flIxIL3Vzci9sb2NhbC9saWIvcHl0aG9uMy43L2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaCB9lH2UKGgXaA6MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgYjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/JmZmZmZmahZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"

ppo_LunarLander-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce638a01c8724e300937390e6ffdba37915437dcfe129364ff108be76be61dd8
+oid sha256:13378b334746992ec6caf01a4f6c3093c13d61921ff0749b9bdf0c07f10dd0de
 size 84893

ppo_LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:072d2df29d1b51761c6c9d80ebc3b0d1cf328e127cda8c288aecf09d9ca259e1
+oid sha256:cd7b999a6e2ca56e5397b812aa86c16a911c32761c7fedbd29f06d858eb20178
 size 43201

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:475db1096667a83900b283a6578d132420dc17e5bc21fae7c32caa7d895afb4f
-size 179684
+oid sha256:0af10c1902d1d6b25d961ecefe61c38058de88f0612e25fd1746861b7a884b5a
+size 227470

results.json

@@ -1 +1 @@
-{"mean_reward": 265.0924299247296, "std_reward": 18.725860992743804, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-05-09T02:10:55.202619"}
+{"mean_reward": 267.2346447100388, "std_reward": 21.2808134987256, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-05-10T00:44:11.323017"}