Provably Efficient Reward Transfer in Reinforcement Learning with Discrete Markov Decision Processes

Kevin Vora, Yu Zhang

In this paper, we propose a new solution to reward adaptation (RA) in reinforcement learning, where the agent adapts to a target reward function based on one or more existing sourc…