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Non-Stationary Reinforcement Learning: The Blessing of ...
arXiv
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arXiv
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由 WC Cheung 著作2019被引用 46 次 — Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism. Authors:Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu.
Nonstationary Reinforcement Learning: The Blessing of (More ...
INFORMS PubsOnline
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INFORMS PubsOnline
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由 WC Cheung 著作2023被引用 46 次 — Optimistically search for the most favorable model within the confidence regions and compute the optimistic policy, which is the optimal policy ...
Non-Stationary Reinforcement Learning: The Blessing of ( ...
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由 WC Cheung 著作2019被引用 46 次 — We overcome this challenge by proposing a novel confidence widening technique that incorporates additional optimism into our learning algorithms ...
Reinforcement Learning for Non-Stationary Markov Decision ...
Proceedings of Machine Learning Research
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Proceedings of Machine Learning Research
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由 WC Cheung 著作2020被引用 118 次 — Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu.
Nonstationary Reinforcement Learning: The Blessing of ...
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Nonstationary Reinforcement Learning: The Blessing of ...
RePEc: Research Papers in Economics
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RePEc: Research Papers in Economics
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由 WC Cheung 著作2023被引用 46 次 — We overcome this challenge by proposing a novel confidence-widening technique that incorporates additional optimism into our learning algorithms. To extend our ...
Nonstationary Reinforcement Learning - ACM Digital Library
ACM Digital Library
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ACM Digital Library
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由 WC Cheung 著作2023被引用 46 次 — We overcome this challenge by proposing a novel confidence-widening technique that incorporates additional optimism into our learning algorithms. To extend our ...
Non-Stationary Reinforcement Learning: The Blessing of ...
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Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism · Near-Optimal Model-Free Reinforcement Learning in Non- ...
Reinforcement Learning for Non-Stationary Markov ...
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DSpace@MIT
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由 WC Cheung 著作2020被引用 118 次 — We identify an unprecedented challenge for RL in non- stationary MDPs with conventional optimistic exploration techniques: existing algorithmic frameworks for ...
Reinforcement Learning for Non-Stationary Markov ...
ResearchGate
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ResearchGate
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Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. January 2020. Authors: Wang-Chi Cheung at National ...