Maximize to Explore: One Objective Function Fusing Estimation, Planning,
and Exploration

Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration

29 May 2023

Wei Xiong

Papers citing "Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration"

12 / 12 papers shown

Title
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF Shicong Cen Jincheng Mei Katayoon Goshvadi Hanjun Dai Tong Yang Sherry Yang Dale Schuurmans Yuejie Chi Bo Dai OffRL 60 23 0 20 Feb 2025
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games Tong Yang Bo Dai Lin Xiao Yuejie Chi OffRL 56 2 0 13 Feb 2025
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF Heyang Zhao Chenlu Ye Quanquan Gu Tong Zhang OffRL 47 3 0 07 Nov 2024
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond Xutong Liu Siwei Wang Jinhang Zuo Han Zhong Xuchuang Wang Zhiyong Wang Shuai Li Mohammad Hajiesmaili J. C. Lui Wei Chen 79 0 0 03 Jun 2024
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo Haque Ishfaq Qingfeng Lan Pan Xu A. R. Mahmood Doina Precup Anima Anandkumar Kamyar Azizzadenesheli BDL OffRL 13 20 0 29 May 2023
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games Wei Xiong Han Zhong Chengshuai Shi Cong Shen Tong Zhang 37 19 0 04 Oct 2022
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning Zixiang Chen C. J. Li An Yuan Quanquan Gu Michael I. Jordan OffRL 108 26 0 30 Sep 2022
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems Masatoshi Uehara Ayush Sekhari Jason D. Lee Nathan Kallus Wen Sun OffRL 47 31 0 24 Jun 2022
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes Miao Lu Yifei Min Zhaoran Wang Zhuoran Yang OffRL 36 22 0 26 May 2022
Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency Lingxiao Wang Qi Cai Zhuoran Yang Zhaoran Wang 41 17 0 26 May 2022
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL Benjamin Eysenbach Alexander Khazatsky Sergey Levine Ruslan Salakhutdinov OffRL 185 43 0 06 Oct 2021
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 127 135 0 09 Dec 2019