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Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation

12 October 2021

Quanquan Gu

Papers citing "Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation"

23 / 23 papers shown

Title
Linear Mixture Distributionally Robust Markov Decision Processes Zhishuai Liu Pan Xu 92 0 0 23 May 2025
Efficient Reinforcement Learning in Probabilistic Reward Machines Xiaofeng Lin Xuezhou Zhang 70 0 0 19 Aug 2024
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning Dake Zhang Boxiang Lyu Shuang Qiu Mladen Kolar Tong Zhang OffRL 64 0 0 10 Jul 2024
Uncertainty-Aware Reward-Free Exploration with General Function Approximation Junkai Zhang Weitong Zhang Dongruo Zhou Q. Gu 95 3 0 24 Jun 2024
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints Dan Qiao Yu Wang OffRL 77 3 0 02 Feb 2024
When is Agnostic Reinforcement Learning Statistically Tractable? Zeyu Jia Gene Li Alexander Rakhlin Ayush Sekhari Nathan Srebro OffRL 118 5 0 09 Oct 2023
On the Model-Misspecification in Reinforcement Learning Yunfan Li Lin F. Yang 106 5 0 19 Jun 2023
Provably Efficient Adversarial Imitation Learning with Unknown Transitions Tian Xu Ziniu Li Yang Yu Zhimin Luo 64 10 0 11 Jun 2023
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning Gen Li Wenhao Zhan Jason D. Lee Yuejie Chi Yuxin Chen OffRL OnRL 146 13 0 17 May 2023
Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning Dingwen Kong Lin F. Yang 99 12 0 18 Apr 2023
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning Gen Li Yuling Yan Yuxin Chen Jianqing Fan OffRL 116 12 0 14 Apr 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs Yuan Cheng Ruiquan Huang J. Yang Yitao Liang OffRL 74 8 0 20 Mar 2023
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs Junkai Zhang Weitong Zhang Quanquan Gu 52 3 0 17 Mar 2023
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient Ming Yin Mengdi Wang Yu Wang OffRL 141 12 0 03 Oct 2022
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation Dan Qiao Yu Wang OffRL 119 13 0 03 Oct 2022
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-free RL Ruiquan Huang J. Yang Yingbin Liang OffRL 115 9 0 28 Jun 2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL Jinglin Chen Aditya Modi A. Krishnamurthy Nan Jiang Alekh Agarwal 107 25 0 21 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 106 73 0 16 Jun 2022
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs Dongruo Zhou Quanquan Gu 118 45 0 23 May 2022
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation Xiaoyu Chen Han Zhong Zhuoran Yang Zhaoran Wang Liwei Wang 184 70 0 23 May 2022
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes Andrew Wagenmaker Yifang Chen Max Simchowitz S. Du Kevin Jamieson 77 48 0 26 Jan 2022
Adaptive Multi-Goal Exploration Jean Tarbouriech O. D. Domingues Pierre Ménard Matteo Pirotta Michal Valko A. Lazaric 121 3 0 23 Nov 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 142 324 0 25 Dec 2020