Barrier Functions Inspired Reward Shaping for Reinforcement Learning

Nilaksh Nilaksh, Abhishek Ranjan, Shreenabh Agrawal +3

Reinforcement Learning (RL) has progressed from simple control tasks to complex real-world challenges with large state spaces. While RL excels in these tasks, training time remains…