The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning

Lingheng Meng, Rob Gorbet, Dana Kulić

Multi-step (also called n-step) methods in reinforcement learning (RL) have been shown to be more efficient than the 1-step method due to faster propagation of the reward signal, b…