Increase learning rate test gamma

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 18.66 +/- 154.53
+      value: 204.88 +/- 103.63
       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 0x7881be572050>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7881be5720e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7881be572170>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7881be572200>", "_build": "<function ActorCriticPolicy._build at 0x7881be572290>", "forward": "<function ActorCriticPolicy.forward at 0x7881be572320>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7881be5723b0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7881be572440>", "_predict": "<function ActorCriticPolicy._predict at 0x7881be5724d0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7881be572560>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7881be5725f0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7881be572680>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7881be513d00>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1008000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1719309436479610427, "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": -0.008000000000000007, "_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": 168, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "gAWVdgIAAAAAAACMFGd5bW5hc2l1bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMDWJvdW5kZWRfYmVsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWCAAAAAAAAAABAQEBAQEBAZRoCIwCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYksIhZSMAUOUdJRSlIwNYm91bmRlZF9hYm92ZZRoESiWCAAAAAAAAAABAQEBAQEBAZRoFUsIhZRoGXSUUpSMBl9zaGFwZZRLCIWUjANsb3eUaBEoliAAAAAAAAAAAAC0wgAAtMIAAKDAAACgwNsPScAAAKDAAAAAgAAAAICUaAtLCIWUaBl0lFKUjARoaWdolGgRKJYgAAAAAAAAAAAAtEIAALRCAACgQAAAoEDbD0lAAACgQAAAgD8AAIA/lGgLSwiFlGgZdJRSlIwIbG93X3JlcHKUjFtbLTkwLiAgICAgICAgLTkwLiAgICAgICAgIC01LiAgICAgICAgIC01LiAgICAgICAgIC0zLjE0MTU5MjcgIC01LgogIC0wLiAgICAgICAgIC0wLiAgICAgICBdlIwJaGlnaF9yZXBylIxTWzkwLiAgICAgICAgOTAuICAgICAgICAgNS4gICAgICAgICA1LiAgICAgICAgIDMuMTQxNTkyNyAgNS4KICAxLiAgICAgICAgIDEuICAgICAgIF2UjApfbnBfcmFuZG9tlE51Yi4=", "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:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "n_steps": 1500, "gamma": 0.6, "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-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "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 0x7881be572050>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7881be5720e0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7881be572170>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7881be572200>", "_build": "<function ActorCriticPolicy._build at 0x7881be572290>", "forward": "<function ActorCriticPolicy.forward at 0x7881be572320>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7881be5723b0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7881be572440>", "_predict": "<function ActorCriticPolicy._predict at 0x7881be5724d0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7881be572560>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7881be5725f0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7881be572680>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7881be513d00>"}, "verbose": 0, "policy_kwargs": {}, "num_timesteps": 1000448, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1719311287530883095, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAJprWTyuSZq6+6oXOhdSvjUX4tq6vkkvuQAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.00044800000000000395, "_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": 3908, "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:": "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", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": "Generator(PCG64)"}, "n_envs": 1, "n_steps": 1024, "gamma": 0.99, "gae_lambda": 0.98, "ent_coef": 0.05, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 4, "clip_range": {":type:": "<class 'function'>", ":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz/JmZmZmZmahZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "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 sha256:8b64c4c818d2f4492d54aae2cb968451304d8f5738b9eae89d9fd4c16f2d8277
-size 148054
+oid sha256:108e988776386a186877b10d6708ebe30826754dc746ac568ee0aefd177a4292
+size 147675

ppo-LunarLander-v2/data

@@ -19,39 +19,39 @@
         "__abstractmethods__": "frozenset()",
         "_abc_impl": "<_abc._abc_data object at 0x7881be513d00>"
     },
-    "verbose": 1,
+    "verbose": 0,
     "policy_kwargs": {},
-    "num_timesteps": 1008000,
+    "num_timesteps": 1000448,
     "_total_timesteps": 1000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1719309436479610427,
+    "start_time": 1719311287530883095,
     "learning_rate": 0.0003,
     "tensorboard_log": null,
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "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"
+        ":serialized:": "gAWVlQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYgAAAAAAAAAJprWTyuSZq6+6oXOhdSvjUX4tq6vkkvuQAAgD8AAIA/lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksBSwiGlIwBQ5R0lFKULg=="
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
+        ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg=="
     },
     "_last_original_obs": null,
     "_episode_num": 0,
     "use_sde": false,
     "sde_sample_freq": -1,
-    "_current_progress_remaining": -0.008000000000000007,
+    "_current_progress_remaining": -0.00044800000000000395,
     "_stats_window_size": 100,
     "ep_info_buffer": {
         ":type:": "<class 'collections.deque'>",
-        ":serialized:": "gAWVLQwAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHwDowi5d4VyqMAWyUS+yMAXSUR0CQWQHpKSPmdX2UKGgGR0BwCebb1yvLaAdNWwFoCEdAkFnk6DGtIXV9lChoBkfAQxYHPeHi32gHTR0BaAhHQJBaceMhouh1fZQoaAZHQGlyQQ+UyHpoB03sAWgIR0CQWtSJTER8dX2UKGgGR0Bwex64UeuFaAdNbwFoCEdAkFsfJaJQ+HV9lChoBkfAZ3nCk43m3mgHTSUBaAhHQJBfXaufVZt1fZQoaAZHwG0MJRO1v2poB01eAWgIR0CQX16Ae7tidX2UKGgGR8BjutJ+UhV3aAdL42gIR0CQX9/zasZHdX2UKGgGR8ALLIRywOe8aAdL8mgIR0CQYKRgZ0jkdX2UKGgGR8BkRqdrftQbaAdNXQFoCEdAkGDzWoWHlHV9lChoBkfAYYoafjCHh2gHS+RoCEdAkGDzDCP6sXV9lChoBkfAa1fW0Z3s5WgHS91oCEdAkGHmUr08NnV9lChoBkdAbcDnEl3QlmgHTT4BaAhHQJBkKT1TR6Z1fZQoaAZHP8HdIoVmBe5oB0vqaAhHQJBkha/yoXN1fZQoaAZHwDZkOH31zyVoB00NAWgIR0CQZaZWJaaDdX2UKGgGR0Bpesfkmx+saAdNqwFoCEdAkGYXl4keIXV9lChoBkdAZg+4RVZLZmgHTWsCaAhHQJBngYGdI5J1fZQoaAZHQG9YA4wRGtpoB019AWgIR0CQZ98dgfEGdX2UKGgGR8Bp+NXiiqQzaAdL52gIR0CQaUBQemvXdX2UKGgGR8BFU5Ig/1QJaAdNAgFoCEdAkGrzL4etCHV9lChoBkdAblcejmCAc2gHTY0BaAhHQJBrwvCdjG11fZQoaAZHQGppxNIsiB5oB022AmgIR0CQbCXE61b8dX2UKGgGR8BpAB+az/p/aAdNHAFoCEdAkG0av7m+03V9lChoBkfAQuk7KaG5+mgHTTgBaAhHQJBuXltCRfZ1fZQoaAZHwDOxn27FsHloB00oAWgIR0CQbp8oQWepdX2UKGgGR8A0SZQpF1B/aAdNfQFoCEdAkG/BJqZc9nV9lChoBkdAaJ+PtD2JzmgHTRUCaAhHQJBwJ09yLht1fZQoaAZHQDhkPrfLs8hoB008AWgIR0CQcWbDuSfUdX2UKGgGR8A5pgNgBtDVaAdNCQFoCEdAkHLe5jH4oXV9lChoBkdAbgV9itq59WgHTcQBaAhHQJBz0IWxhUl1fZQoaAZHwBApyQxN7BxoB0v8aAhHQJBz43XI2fl1fZQoaAZHQHBd28mKIi1oB02CAWgIR0CQdZoWHk92dX2UKGgGR8Bl4RVlwtJ4aAdL2WgIR0CQdzt0mtyQdX2UKGgGR8BimfI+4b0faAdL3mgIR0CQd8E3bVSXdX2UKGgGR8Bidfq/ub7TaAdNJwFoCEdAkHgSL61stXV9lChoBkdAbh3zmwJPZmgHTdEBaAhHQJB8Assg+yJ1fZQoaAZHQHEKxX8wYchoB01VAWgIR0CQfKW0Z3s5dX2UKGgGR8ArgoAn2IweaAdL9mgIR0CQfTYeT3ZgdX2UKGgGR8BuhyzkZJkHaAdNdgFoCEdAkH1HpGFzuHV9lChoBkfAF9fzSThYNmgHTTYBaAhHQJCZ6TvAoG91fZQoaAZHwGnH1D8cdYJoB01LAWgIR0CQml+MIeHSdX2UKGgGR0Bq5zWZqmCRaAdN3AFoCEdAkJvG4iHIqHV9lChoBkfAY7tbRF7UomgHS+VoCEdAkKIDh99c8nV9lChoBkdAbtmfjjrAxmgHTa0BaAhHQJCihoK2KEZ1fZQoaAZHQEIWWeHzpX9oB02YAWgIR0CQorHNX5nEdX2UKGgGR0BwOBDu0CzUaAdNnwFoCEdAkKL0N8VpK3V9lChoBkfAacojNY8uBmgHS+ZoCEdAkKMvBzmwJXV9lChoBkdAcL1f4h2W6mgHTWIBaAhHQJCkFDkU9IR1fZQoaAZHwGXKoNutOmBoB0vYaAhHQJCmJ7b+Lm91fZQoaAZHwEp2dWhh6SloB022AWgIR0CQpk+mFajfdX2UKGgGR8BqdN07r9l3aAdNZQFoCEdAkKjgcHWz4XV9lChoBkfAaLPyjpLVWmgHTTUBaAhHQJCpBhQWN3p1fZQoaAZHQGv04bjtG/hoB03IAWgIR0CQqdD2rXDndX2UKGgGR0BpasmlZX+3aAdNugFoCEdAkK40sasIV3V9lChoBkdAUsKf+S8rZ2gHTegDaAhHQJCubSMLncN1fZQoaAZHwGvL/PPcBU9oB0v0aAhHQJCvUtNBWxR1fZQoaAZHwGizCVB2OhloB0vmaAhHQJCwYuanaWZ1fZQoaAZHQGEb/rSmZVpoB03oA2gIR0CQsIHim2srdX2UKGgGR0BtBa06YE4eaAdN1wFoCEdAkLGtEPUaynV9lChoBkfAQnQYNy5qd2gHTRsBaAhHQJCxySlnAZd1fZQoaAZHwGsVZcC5mRNoB01cAWgIR0CQtIMPBi1BdX2UKGgGR8BeJj19ORDDaAdL1GgIR0CQtKpLmITHdX2UKGgGR8Boah5cC5mRaAdL7WgIR0CQtjAXEZR9dX2UKGgGR8Bq2iDyvs7daAdNkAFoCEdAkLgHH7xd6nV9lChoBkfAJ2A9vCMxXWgHTRMBaAhHQJC4vQOWjXZ1fZQoaAZHwGoiPcJtzjpoB01pAWgIR0CQuRn13+uOdX2UKGgGR0Brp+EqUeMiaAdNxwFoCEdAkL1r0OEuhHV9lChoBkfAQ6Wnfl6qsGgHS/NoCEdAkMAVTWGyonV9lChoBkfAZbwBMi8nNWgHTS8BaAhHQJDAYPnSv1V1fZQoaAZHwDwakbgjyFxoB0vpaAhHQJDBQcrAgxJ1fZQoaAZHQG8dpiRW915oB02PAWgIR0CQwpW1twaSdX2UKGgGR8Bp3BLsa86FaAdNJwFoCEdAkMMol6Z6U3V9lChoBkfAQGZKSPluFmgHTXoBaAhHQJDDRfYzzmR1fZQoaAZHQGohnm7rcCZoB011AWgIR0CQxE7JGOMmdX2UKGgGR8BrtQi1RceKaAdNtAFoCEdAkMRnO4XoDHV9lChoBkdAXslIkJKJ22gHTegDaAhHQJDGjFxXGOx1fZQoaAZHwEtGpHZsbedoB00aAWgIR0CQx8Dp1RtQdX2UKGgGR8AstinYQJ5WaAdNQAFoCEdAkMg3y3CsO3V9lChoBkfASZDI1cdHUmgHTT0BaAhHQJDI0Qf6oEV1fZQoaAZHwCwg6S1Vo6FoB00gAWgIR0CQzpya/h2odX2UKGgGR8BE2eZw4sEraAdNWQFoCEdAkM8CJsO5KHV9lChoBkfARY4UnG828GgHTQ0BaAhHQJDQBRl6JIl1fZQoaAZHwGeU/jjrAxloB0v3aAhHQJDQjWiDdxh1fZQoaAZHwCWm8XenAIpoB0vnaAhHQJDRPHuJDVp1fZQoaAZHwGUL9H2AXl9oB00uAWgIR0CQ0nrs0HhTdX2UKGgGR8Btv3K8tf5UaAdNaQFoCEdAkNLZfYzzmXV9lChoBkfAXYDuDzyz5WgHTbsCaAhHQJDTjfdhy811fZQoaAZHQDZw+xGDtgNoB005AWgIR0CQ1A7qIJqqdX2UKGgGR0BhatjPOY6XaAdN6ANoCEdAkNWoMBp5/3V9lChoBkfAb0ZkQPI4l2gHTZYBaAhHQJDXAQg9vCN1fZQoaAZHQG43ihvitJZoB01dAWgIR0CQ1/rxy4nXdX2UKGgGR8Bl+WVeKKpDaAdL4GgIR0CQ2Y5ooNNKdX2UKGgGR0BtT31xsEaEaAdNgwFoCEdAkNrusgdOqXV9lChoBkfAZ8tMEA5q/WgHTSEBaAhHQJDcOrBCUot1fZQoaAZHwHCHQOSW7e5oB024AWgIR0CQ3KUx20RfdX2UKGgGR8Bn9i/fwZwXaAdNKwFoCEdAkN5J4bCJoHV9lChoBkdAV2V/OMVDbGgHTegDaAhHQJDgtzp5eJJ1fZQoaAZHwGynkTHsC1ZoB01JAWgIR0CQ4P5kK/mDdX2UKGgGR8BD8bxVhkRSaAdNbwFoCEdAkOHdhAnlXHV9lChoBkfAZbSCqZML4WgHTQkBaAhHQJDipMg2ZRd1ZS4="
+        ":serialized:": "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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 168,
+    "_n_updates": 3908,
     "observation_space": {
         ":type:": "<class 'gymnasium.spaces.box.Box'>",
         ":serialized:": "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",
@@ -69,18 +69,18 @@
     },
     "action_space": {
         ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
-        ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=",
+        ":serialized:": "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",
         "n": "4",
         "start": "0",
         "_shape": [],
         "dtype": "int64",
-        "_np_random": null
+        "_np_random": "Generator(PCG64)"
     },
-    "n_envs": 16,
-    "n_steps": 1500,
-    "gamma": 0.6,
+    "n_envs": 1,
+    "n_steps": 1024,
+    "gamma": 0.99,
     "gae_lambda": 0.98,
-    "ent_coef": 0.01,
+    "ent_coef": 0.05,
     "vf_coef": 0.5,
     "max_grad_norm": 0.5,
     "batch_size": 64,

ppo-LunarLander-v2/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b27a8074b734d093b2d1af94822c268f13c9f4aaed5db791a7287634e5ede06e
+oid sha256:4eebef956ae755ab3aeaa8780dd36a18362ab8d3663bd0869555f6a60fa39313
 size 88362

ppo-LunarLander-v2/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d51f09951ea2bb70c70154fab8bea60a8c61713d991c73cf7c832fe3c106afc1
+oid sha256:d10dd2b319725fdb7e4b9e4edb72300fcef8f2abe407c9ed54eb6508b6df1fa4
 size 43762

results.json

@@ -1 +1 @@
-{"mean_reward": 18.662933700000004, "std_reward": 154.52534558120658, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-25T10:18:43.899565"}
+{"mean_reward": 204.8760577, "std_reward": 103.62863369230921, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-25T11:12:03.276424"}