Abhishek Ranjan

Barrier Functions Inspired Reward Shaping for Reinforcement Learning

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 a limitation. Reward shaping is a popular solution, but existing methods often rely on value functions, which face scal…