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2025 ICML ICML 2025

Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Bhargav Ganguly, Yang Xu, Vaneet Aggarwal

Topics

Reinforcement Learning > Methods > Model-Based RL

Keywords

regret bound average-reward markov decision processes efficient quantum mean estimation techniques exponential advancements in regret guarantees optimism-driven tabular reinforcement learning algorithm quantum acceleration
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