ENTITY Deep Double Q-learning

Deep Double Q-learning

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TOOL · CL_352133 · Nov 11 · 05:00

Deep Double Q-learning Reduces Overestimation Bias in Reinforcement Learning

Researchers have introduced Deep Double Q-learning (DDQL), an advancement over Double DQN designed to mitigate overestimation bias in deep reinforcement learning. DDQL explicitly trains two Q-functions, unlike Double DQ…

Deep Double Q-learning Reduces Overestimation Bias in Reinforcement Learning