Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning

Junqi Qian, Paul Weng, Chenmien Tan

When applying reinforcement learning (RL) to a new problem, reward engineering is a necessary, but often difficult and error-prone task a system designer has to face. To avoid this…