Parham Panahi

PhD student, University of Alberta

Alberta Machine Intelligence Institute

1 standalone talk · 1 total lecture · 1h recorded

Algorithms & Theoretical CS AI & Machine Learning

Standalone talks by Parham Panahi

Self-contained public lectures, keynote addresses, and research seminars.

Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning

56:25

Theory & Algos·Research Seminar

Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning

Parham Panahi·Alberta Machine Intelligence Institute

Introducing Endpoint Replay, an algorithm that significantly compresses recency buffers in deep reinforcement learning by pairing a recency buffer with a coreset of chained n-step transitions.