53 citations · 53 across the 2 of their papers we have counts for
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cs.LG2023
Adapting Double Q-Learning for Continuous Reinforcement Learning
Arsenii Kuznetsov
Majority of off-policy reinforcement learning algorithms use overestimation bias control techniques. Most of these techniques rooted in heuristics, primarily addressing the consequ…
cs.LG2020★ 53 cited
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Arsenii Kuznetsov, Pavel Shvechikov, Alexander Grishin +1
The overestimation bias is one of the major impediments to accurate off-policy learning. This paper investigates a novel way to alleviate the overestimation bias in a continuous co…