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2012.14843
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Learning Adversarial Markov Decision Processes with Delayed Feedback
AAAI Conference on Artificial Intelligence (AAAI), 2020
29 December 2020
Tal Lancewicki
Aviv A. Rosenberg
Yishay Mansour
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Papers citing
"Learning Adversarial Markov Decision Processes with Delayed Feedback"
30 / 30 papers shown
Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback
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Exploiting Curvature in Online Convex Optimization with Delayed Feedback
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Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
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Biased Dueling Bandits with Stochastic Delayed Feedback
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Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization
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Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes
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Non-stochastic Bandits With Evolving Observations
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325
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27 May 2024
Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback
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Haipeng Luo
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Dmitry Sotnikov
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378
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13 May 2024
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation
Neural Information Processing Systems (NeurIPS), 2023
Nikki Lijing Kuang
Ming Yin
Mengdi Wang
Yu Wang
Yian Ma
364
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29 Oct 2023
Statistical Inference on Multi-armed Bandits with Delayed Feedback
International Conference on Machine Learning (ICML), 2023
Lei Shi
Jingshen Wang
Tianhao Wu
357
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Online Resource Allocation in Episodic Markov Decision Processes
Duksang Lee
William Overman
Dabeen Lee
399
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18 May 2023
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs
Annual Conference Computational Learning Theory (COLT), 2023
Dirk van der Hoeven
Lukas Zierahn
Tal Lancewicki
Aviv A. Rosenberg
Nicolò Cesa-Bianchi
350
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15 May 2023
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback
International Conference on Machine Learning (ICML), 2023
Tal Lancewicki
Aviv A. Rosenberg
Dmitry Sotnikov
217
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13 May 2023
Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward
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Vaneet Aggarwal
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04 May 2023
Safe Networked Robotics with Probabilistic Verification
IEEE Robotics and Automation Letters (RA-L), 2023
Sai Shankar Narasimhan
Sharachchandra Bhat
Sandeep Chinchali
348
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A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
Neural Information Processing Systems (NeurIPS), 2023
Yunchang Yang
Hangshi Zhong
Tianhao Wu
B. Liu
Liwei Wang
S. Du
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599
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03 Feb 2023
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation
International Conference on Machine Learning (ICML), 2023
Uri Sherman
Tomer Koren
Yishay Mansour
378
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30 Jan 2023
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
International Conference on Machine Learning (ICML), 2023
Jiatai Huang
Yan Dai
Longbo Huang
411
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Multi-Agent Reinforcement Learning with Reward Delays
Conference on Learning for Dynamics & Control (L4DC), 2022
Yuyang Zhang
Runyu Zhang
Yu Gu
Na Li
278
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Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards
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Ashwinkumar Badanidiyuru
Zhe Feng
Tianxi Li
Haifeng Xu
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375
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Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback
Neural Information Processing Systems (NeurIPS), 2022
Yan Dai
Haipeng Luo
Liyu Chen
309
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Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
Neural Information Processing Systems (NeurIPS), 2022
Tiancheng Jin
Tal Lancewicki
Haipeng Luo
Yishay Mansour
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305
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Cooperative Online Learning in Stochastic and Adversarial MDPs
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Tal Lancewicki
Aviv A. Rosenberg
Yishay Mansour
381
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31 Jan 2022
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee
International Conference on Machine Learning (ICML), 2021
Tianhao Wu
Yunchang Yang
Han Zhong
Liwei Wang
S. Du
Jiantao Jiao
474
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21 Dec 2021
Optimism and Delays in Episodic Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Benjamin Howson
Ciara Pike-Burke
Sarah Filippi
262
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Scale-Free Adversarial Multi-Armed Bandit with Arbitrary Feedback Delays
Jiatai Huang
Yan Dai
Longbo Huang
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387
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Reinforcement Learning for Feedback-Enabled Cyber Resilience
Yunhan Huang
Linan Huang
Quanyan Zhu
336
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Minimax Regret for Stochastic Shortest Path
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Alon Cohen
Yonathan Efroni
Yishay Mansour
Aviv A. Rosenberg
413
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24 Mar 2021
No Weighted-Regret Learning in Adversarial Bandits with Delays
Journal of machine learning research (JMLR), 2021
Ilai Bistritz
Zhengyuan Zhou
Xi Chen
Nicholas Bambos
Jose H. Blanchet
346
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Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach
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Chen-Yu Wei
Haipeng Luo
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