The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning

Robotics and human-robot interaction researcher advancing human-centered robot learning through deep reinforcement learning, preference learning, and adaptive interactive systems. My work spans from foundational RL theory to real-world deployment, including a museum installation with 60,000+ public visitors.