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cs.LG2026
Improving Online Reinforcement Learning via Bidirectional Behavior Prior Distillation
Gong Gao, Xiao Lai, Jiaji Shen +3
Online reinforcement learning (RL) algorithms frequently exhibit poor sample efficiency and unstable learning dynamics, stemming from systematic critic estimation errors that are e…
cs.LG2026★ 1 cited
Improving Policy Exploitation in Online Reinforcement Learning with Instant Retrospect Action
Gong Gao, Weidong Zhao, Xianhui Liu +1
Existing value-based online reinforcement learning (RL) algorithms suffer from slow policy exploitation due to ineffective exploration and delayed policy updates. To address these…