Upload PPO LunarLander-v2 trained agent by hishamcse

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 280.01 +/- 18.59
+      value: 255.56 +/- 47.42
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
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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 0x7df945178f70>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7df945179000>", "reset_noise": 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Tue Dec 19 13:14:11 UTC 2023", "Python": "3.10.13", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.1.2", "GPU Enabled": "True", "Numpy": "1.26.4", "Cloudpickle": "3.0.0", "Gymnasium": "0.28.1", "OpenAI Gym": "0.26.2"}}
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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 0x7a88b296eb00>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7a88b296eb90>", "reset_noise": 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-        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7df945179510>",
-        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7df9451795a0>",
+        "__init__": "<function ActorCriticPolicy.__init__ at 0x7a88b296eb00>",
+        "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7a88b296eb90>",
+        "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7a88b296ec20>",
+        "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7a88b296ecb0>",
+        "_build": "<function ActorCriticPolicy._build at 0x7a88b296ed40>",
+        "forward": "<function ActorCriticPolicy.forward at 0x7a88b296edd0>",
+        "extract_features": "<function ActorCriticPolicy.extract_features at 0x7a88b296ee60>",
+        "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7a88b296eef0>",
+        "_predict": "<function ActorCriticPolicy._predict at 0x7a88b296ef80>",
+        "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7a88b296f010>",
+        "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7a88b296f0a0>",
+        "predict_values": "<function ActorCriticPolicy.predict_values at 0x7a88b296f130>",
         "__abstractmethods__": "frozenset()",
-        "_abc_impl": "<_abc._abc_data object at 0x7df945171400>"
+        "_abc_impl": "<_abc._abc_data object at 0x7a88b296abc0>"
     },
     "verbose": 1,
     "policy_kwargs": {},
@@ -62,7 +62,7 @@
     "n_epochs": 4,
     "clip_range": {
         ":type:": "<class 'function'>",
-        ":serialized:": "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"
+        ":serialized:": "gAWVqwEAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUtDQwRkAVMAlE5HAAAAAAAAAACGlCmMAV+UhZSMIS90bXAvaXB5a2VybmVsXzE0OTkvNDAwNTgyMDc4NC5weZSMCDxsYW1iZGE+lEsNQwIEAJQpKXSUUpR9lCiMC19fcGFja2FnZV9flE6MCF9fbmFtZV9flIwIX19tYWluX1+UdU5OTnSUUpRoAIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaBZ9lH2UKGgTaA2MDF9fcXVhbG5hbWVfX5RoDYwPX19hbm5vdGF0aW9uc19flH2UjA5fX2t3ZGVmYXVsdHNfX5ROjAxfX2RlZmF1bHRzX1+UTowKX19tb2R1bGVfX5RoFIwHX19kb2NfX5ROjAtfX2Nsb3N1cmVfX5ROjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"
     },
     "clip_range_vf": null,
     "normalize_advantage": true,

results.json

@@ -1 +1 @@
-{"mean_reward": 280.01436594222093, "std_reward": 18.586974806601273, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-07T13:26:35.204907"}
+{"mean_reward": 255.56454995781877, "std_reward": 47.41722359708189, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-07T13:30:07.354028"}