Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes
The author explores the quantum advantage in mean estimation for Reinforcement Learning, showcasing exponential advancements in regret guarantees. By introducing a novel Quantum algorithm, significant improvements over classical counterparts are achieved.
