Kevin Jatin Vora

Reward Adaptation via Q-Manipulation: Provably Beneficial Reward Function Transfer in Reinforcement Learning

Reinforcement Learning has made great strides in game playing and robotics but faces challenges with sample complexity and generalization. Transfer learning, which allows agents to reuse knowledge from prior tasks, offers a promising solution. My current research focuses on Reward Adaptation, where