SQT -- rough conservative actor critic
Keywords: Actor Critic, Overestimation Bias
Abstract: Std $Q$-target is a conservative actor critic ensemble based $Q$-learning algorithm which based on a single key $Q$-formula--$Q$-networks standard deviation, an uncertainty penalty. A minimalistic solution to the problem of overestimation bias. We implement SQT on top of actor critic and test it against the SOTA actor critic algorithms on popular MuJoCo tasks. SQT shows a clear performance advantage over TD3, SAC and TD7 on the tested tasks majority.
Primary Area: reinforcement learning
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Submission Number: 493
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