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tqc-BipedalWalker-v3

Reinforcement Learning stable-baselines3 BipedalWalker-v3 deep-reinforcement-learning Eval Results

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araffin commited on May 14, 2022

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Update README.md

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@@ -97,6 +97,7 @@ model = TQC(
     batch_size=256,
     buffer_size=300000,
     learning_rate=7.3e-4,
     use_sde=True,
     train_freq=8,
     gradient_steps=8,

     batch_size=256,
     buffer_size=300000,
     learning_rate=7.3e-4,
+    # gSDE is from https://proceedings.mlr.press/v164/raffin22a.html
     use_sde=True,
     train_freq=8,
     gradient_steps=8,