Upload PPO LunarLander-v2 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 222.43 +/- 73.56
+      value: 250.05 +/- 15.86
       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 0x7ff1588603a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7ff158860430>", "reset_noise": 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ppo-LunarLander-v2.zip

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         "__module__": "stable_baselines3.common.policies",
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+        ":serialized:": "gAWVNgwAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQGw8/yGzru+MAWyUTXsBjAF0lEdAkpksY2sJY3V9lChoBkdARcZL7Gecx2gHS8xoCEdAkppt5hScb3V9lChoBkdAcdhngYP5HmgHTYQBaAhHQJKagnBtUGV1fZQoaAZHQG6eKHfuTidoB03sAWgIR0CSm9987ZFodX2UKGgGR0Bw/nnQpnYhaAdNWgJoCEdAkpwZLRKHwnV9lChoBkdAbmo384xUN2gHTU0BaAhHQJKcuK3uuzR1fZQoaAZHQHGvCUcGTs9oB01EAWgIR0CSnNFQEZBLdX2UKGgGR0By3e9g4OtoaAdNygFoCEdAkp9oqwyIpHV9lChoBkdAcMdBsANoamgHS/1oCEdAkp+v2wmmcnV9lChoBkdAcDc+SKWLP2gHTTEBaAhHQJKgXWK/Efl1fZQoaAZHQHC1yVSn+AFoB03DAmgIR0CSoMjua4MGdX2UKGgGR0BvvwyfthNNaAdNNAFoCEdAkqF6aCtihHV9lChoBkdAcPvZdfLLZGgHTSsBaAhHQJKjD0h/y5J1fZQoaAZHQHHszEm6XjVoB0v9aAhHQJKjrnTy8SR1fZQoaAZHQG/IbZOBUaRoB01IAWgIR0CSo69/z8P4dX2UKGgGR0A31/FR51NhaAdL02gIR0CSpGUb1h9cdX2UKGgGR0BwlAIJJGvwaAdNaQFoCEdAkqWYYR/ViHV9lChoBkdAcPEtwaR6nmgHTXIBaAhHQJKmvGwRoRJ1fZQoaAZHQHAcJeAuqWFoB00XAWgIR0CSpwWHUMG5dX2UKGgGR0A3zPT5O8CgaAdLy2gIR0CSpyHXEqDsdX2UKGgGR0Bv4+MCLdeqaAdNKgNoCEdAkqeNl2/zrnV9lChoBkdAbjpXmvGIbmgHTYYBaAhHQJKor3Zf2K51fZQoaAZHQHDp+GXXyy5oB00PAWgIR0CSqTmReTmodX2UKGgGR0Bw7WU7jkuIaAdNeQFoCEdAkqmotQKrrHV9lChoBkdAbmRxQSBbwGgHTQgBaAhHQJKqwhTwUg11fZQoaAZHQHGbZ2Qnx8VoB000AWgIR0CSqy02LpA2dX2UKGgGR0BxOr5pJwsHaAdNPQFoCEdAkqvoU8FINHV9lChoBkdAcjMGJemelWgHTRUBaAhHQJKsoVN5+ph1fZQoaAZHQHAMc7hegL9oB00nAWgIR0CSrvG0u14PdX2UKGgGR0BypZXiiqQzaAdL8GgIR0CSr2AUtZmqdX2UKGgGR0BxIjn1WbPQaAdNSQFoCEdAkq+s5XEIgXV9lChoBkdAbLCEOiFj/mgHTSsBaAhHQJKw1OCXhOx1fZQoaAZHQGyfFar3j+9oB005AWgIR0CSs2lO45LidX2UKGgGR0ByKxwiqyWzaAdNDAFoCEdAkrSFM7EHdHV9lChoBkdAcLJ+nIhhY2gHTSkBaAhHQJK1LsPatcR1fZQoaAZHQG04Np22XsxoB00OAWgIR0CSt/pYLb5/dX2UKGgGR0BveJtk4FRpaAdNKQFoCEdAkrjnNorWiHV9lChoBkdAa0vm1YyO72gHTf8BaAhHQJK5esPrfLt1fZQoaAZHQG7j0YCQtBhoB01kAWgIR0CSukRhc7hfdX2UKGgGR0BxGTluFYdRaAdNwwFoCEdAkrsIvalDW3V9lChoBkdAcKnTwlSjxmgHTTYBaAhHQJK7/eFcpsp1fZQoaAZHQHD8K1XvH95oB00EAWgIR0CSvG5DJEH/dX2UKGgGR0Bwd6I+GGmDaAdNIgFoCEdAkr3A5zYEn3V9lChoBkdAcRnaw2VE/mgHTRMBaAhHQJK+BqqOtGN1fZQoaAZHQHJOBFZxJd1oB00KAWgIR0CSv4rleWv9dX2UKGgGR0BxBbXSSeRQaAdNdQNoCEdAkr+YT4+KTHV9lChoBkdAbdYHARChOGgHTYsBaAhHQJLBGGATZg51fZQoaAZHQHBXBFI/Z/VoB00mAWgIR0CSwV+QlruZdX2UKGgGR0Bw5gxsVLzxaAdNNAFoCEdAktS+HnEET3V9lChoBkdAc4NI7Njbz2gHTQgBaAhHQJLVfuKGcnV1fZQoaAZHQG6YSt/4IrxoB00JAWgIR0CS1dl8gIQfdX2UKGgGR0BwTV84PwuvaAdNFQFoCEdAktaq0QbuMXV9lChoBkdAbcyRhc7hemgHS/VoCEdAktchoIv8InV9lChoBkdAcNzASWZ7X2gHTUQCaAhHQJLXMpazNUx1fZQoaAZHQG3Di8FpwjtoB00kAWgIR0CS18ldC3PSdX2UKGgGR0BxMANx2jfvaAdNBwNoCEdAktk40EX+EXV9lChoBkdAb4E0ALiMpGgHTToBaAhHQJLZ0J4SpR51fZQoaAZHQHCQc5n13+xoB021AWgIR0CS2rcUuctodX2UKGgGR0BwU43AEdNnaAdNFAFoCEdAktuDdYW+G3V9lChoBkdATlXYjB2wFGgHS8toCEdAktuDabnX/nV9lChoBkdAcDMj+aScLGgHTUQBaAhHQJLboQ7LdN51fZQoaAZHQFEO2kSElE9oB0vPaAhHQJLcpIoVmBh1fZQoaAZHQDzDNB4Uvf1oB0vFaAhHQJLekNVinYR1fZQoaAZHQHG8wX2ugYhoB01FAWgIR0CS4Plj3EhrdX2UKGgGR0BxaRstTUAlaAdNdAFoCEdAkuD6gh8pkXV9lChoBkdAbcH3g1m8NGgHTRkBaAhHQJLhR8b70nR1fZQoaAZHQG4+eizsyBVoB00gAWgIR0CS4ajyFwkxdX2UKGgGR0ByTK9nK4hEaAdNBgJoCEdAkuMWV3Ux23V9lChoBkdAbwn4DcM3ImgHTRoBaAhHQJLkc4Pwuul1fZQoaAZHQHEOQumJm/ZoB015AWgIR0CS5VQ4S6DodX2UKGgGR0Bt45ePaL4vaAdN/QFoCEdAkuVV1nuiOHV9lChoBkdAcH6D6WPcSGgHTRsBaAhHQJLlZnVXmvJ1fZQoaAZHQHFb8A/9pAVoB00DAWgIR0CS5YQBxPwedX2UKGgGR0BvV5mdy1eCaAdNAgFoCEdAkuZRtLteD3V9lChoBkdAcf/z19ORDGgHTSYBaAhHQJLnrCEYfnx1fZQoaAZHQHFa9oFmnO1oB00uAWgIR0CS6Cqaw2VFdX2UKGgGR0BxdQ8V58jSaAdNKwFoCEdAkulvUWl/IHV9lChoBkdAcKlh+vyLAGgHTQsBaAhHQJLqQLtu1nd1fZQoaAZHQHKrKQV9F4NoB00DAWgIR0CS7KvzOHFhdX2UKGgGR0BxHsAuIyj6aAdNDQFoCEdAkuzWCROk+HV9lChoBkdAcPhdat9x62gHTRMBaAhHQJLtvH7xd6d1fZQoaAZHQFAdhJAdGRVoB0vRaAhHQJLt/cDbJwN1fZQoaAZHQHLMRvNu+AVoB0v+aAhHQJLve51/2Cd1fZQoaAZHQFG7kUKzAvdoB0vGaAhHQJLvt8neBQN1fZQoaAZHQG9Vh4D9wWFoB01rAWgIR0CS8DKZDzAfdX2UKGgGR0Bw8r+ZPVNIaAdNJQFoCEdAkvDjByjpLXV9lChoBkdAc2u2lEZzgmgHTVYBaAhHQJLyru2JBPd1fZQoaAZHQHL7qGlANXpoB010AWgIR0CS8wn7pFCtdX2UKGgGR0BxWLN/vv0AaAdNDgFoCEdAkvOiWZ7Xx3V9lChoBkdAbcMi9Iwud2gHTSwBaAhHQJLzqr6tT1l1fZQoaAZHQG2s5HNHH3loB02iAWgIR0CS87x3mmtRdX2UKGgGR0BxwWc2BJ7LaAdNHAFoCEdAkvSaN6w+uHV9lChoBkdAcBc2fChvi2gHTaYDaAhHQJL2cwN9YwJ1fZQoaAZHQHIHFSbYsd1oB00HAWgIR0CS9nIv8IiUdX2UKGgGR0BuMIiiZfD2aAdL+mgIR0CS9/uw5eZ5dX2UKGgGR0BwSHOLR8c/aAdNTwFoCEdAkvgOCbtqpXV9lChoBkdAcFHe3x4IKWgHTQkBaAhHQJL49QcghbJ1fZQoaAZHQHLy2oegctJoB01uAWgIR0CS+TKT0QK8dX2UKGgGR0ByWpKCg9NfaAdNCgJoCEdAkvlHLidauHV9lChoBkdAcPcWqtHQQmgHTSsBaAhHQJL5bNfPX051ZS4="
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
@@ -87,13 +87,13 @@
     "n_epochs": 4,
     "clip_range": {
         ":type:": "<class 'function'>",
-        ":serialized:": "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"
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     },
     "clip_range_vf": null,
     "normalize_advantage": true,
     "target_kl": null,
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ppo-LunarLander-v2/system_info.txt

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-- OS: Linux-5.15.0-97-generic-x86_64-with-glibc2.31 # 107~20.04.1-Ubuntu SMP Fri Feb 9 14:20:11 UTC 2024
-- Python: 3.10.14
+- OS: Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024
+- Python: 3.10.12
 - Stable-Baselines3: 2.0.0a5
-- PyTorch: 2.0.0
+- PyTorch: 2.3.1+cu121
 - GPU Enabled: True
 - Numpy: 1.26.4
-- Cloudpickle: 3.0.0
+- Cloudpickle: 2.2.1
 - Gymnasium: 0.28.1
+- OpenAI Gym: 0.25.2

results.json

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