On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning

Giuseppe Canonaco, Leo Ardon, Alberto Pozanco +1

The use of Potential-Based Reward Shaping (PBRS) has shown great promise in the ongoing research effort to tackle sample inefficiency in Reinforcement Learning (RL). However, choos…