Exploiting Estimation Bias in Clipped Double Q-Learning for Continous Control Reinforcement Learning Tasks

Niccolò Turcato, Alberto Sinigaglia, Alberto Dalla Libera +2

Continuous control Deep Reinforcement Learning (RL) approaches are known to suffer from estimation biases, leading to suboptimal policies. This paper introduces innovative methods…