Baxter 125 Finite Time Bounds for Robust Reinforcement Learning with Linear Function Approximation Yashaswini Murthy , Postdoctoral Scholar Research Associate in Computing & Mathematical Sciences , Caltech

Center for Social Information Sciences (CSIS) Seminar

CSIS Seminar at Caltech presents Yashaswini Murthy discussing finite time bounds for robust reinforcement learning with linear function approximation. A technically focused lecture blending theoretical insights with practical RL considerations, held in Baxter 125, Los Angeles.