Po-Han Chiang

Mixture of Step Returns in Bootstrapped DQN

2020 · arXiv (Cornell University)

The concept of utilizing multi-step returns for updating value functions has been adopted in deep reinforcement learning (DRL) for a number of years. Updating value functions with different backup lengths provides advantages in different aspects, …