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Qiwei Di
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Conference and Workshop Papers
- 2024
- [c4]Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu:
Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits. ICLR 2024 - [c3]Qiwei Di, Heyang Zhao, Jiafan He, Quanquan Gu:
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning. ICLR 2024 - [c2]Yue Wu, Tao Jin, Qiwei Di, Hao Lou, Farzad Farnoud, Quanquan Gu:
Borda Regret Minimization for Generalized Linear Dueling Bandits. ICML 2024 - 2023
- [c1]Qiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu:
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path. ICML 2023: 7837-7864
Informal and Other Publications
- 2024
- [i4]Qiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu:
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path. CoRR abs/2402.08998 (2024) - [i3]Qiwei Di, Jiafan He, Quanquan Gu:
Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback. CoRR abs/2404.10776 (2024) - 2023
- [i2]Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu:
Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits. CoRR abs/2310.00968 (2023) - [i1]Qiwei Di, Heyang Zhao, Jiafan He, Quanquan Gu:
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning. CoRR abs/2310.01380 (2023)
Coauthor Index
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last updated on 2024-09-04 00:32 CEST by the dblp team
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