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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"

25 / 25 papers shown

Title
Bayesian Optimization for Dynamic Pricing and Learning Anush Anand Pranav Agrawal Tejas Bodas 20 0 0 14 Oct 2025
Statistical and Algorithmic Foundations of Reinforcement Learning Yuejie Chi Yuxin Chen Yuting Wei OffRL 97 0 0 19 Jul 2025
Linear Mixture Distributionally Robust Markov Decision Processes Zhishuai Liu Pan Xu 186 3 0 23 May 2025
Efficient Reinforcement Learning in Probabilistic Reward MachinesAAAI Conference on Artificial Intelligence (AAAI), 2024 Xiaofeng Lin Xuezhou Zhang 160 1 0 19 Aug 2024
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning Dake Zhang Boxiang Lyu Delin Qu Mladen Kolar Tong Zhang OffRL 162 1 0 10 Jul 2024
Uncertainty-Aware Reward-Free Exploration with General Function Approximation Junkai Zhang Weitong Zhang Dongruo Zhou Q. Gu 230 4 0 24 Jun 2024
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints Dan Qiao Yu Wang OffRL 158 3 0 02 Feb 2024
When is Agnostic Reinforcement Learning Statistically Tractable?Neural Information Processing Systems (NeurIPS), 2023 Zeyu Jia Gene Li Alexander Rakhlin Ayush Sekhari Nathan Srebro OffRL 204 7 0 09 Oct 2023
On the Model-Misspecification in Reinforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Yunfan Li Lin F. Yang 198 6 0 19 Jun 2023
Provably Efficient Adversarial Imitation Learning with Unknown TransitionsConference on Uncertainty in Artificial Intelligence (UAI), 2023 Tian Xu Ziniu Li Yang Yu Zhimin Luo 109 11 0 11 Jun 2023
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 Gen Li Wenhao Zhan Jason D. Lee Yuejie Chi Yuxin Chen OffRL OnRL 195 14 0 17 May 2023
Provably Feedback-Efficient Reinforcement Learning via Active Reward LearningNeural Information Processing Systems (NeurIPS), 2023 Dingwen Kong Lin F. Yang 157 15 0 18 Apr 2023
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement LearningAnnual Conference Computational Learning Theory (COLT), 2023 Gen Li Yuling Yan Yuxin Chen Jianqing Fan OffRL 216 14 0 14 Apr 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPsInternational Conference on Learning Representations (ICLR), 2023 Yuan Cheng Ruiquan Huang J. Yang Yitao Liang OffRL 150 9 0 20 Mar 2023
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPsInternational Conference on Machine Learning (ICML), 2023 Junkai Zhang Weitong Zhang Quanquan Gu 127 5 0 17 Mar 2023
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient Ming Yin Mengdi Wang Yu Wang OffRL 217 12 0 03 Oct 2022
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function ApproximationInternational Conference on Learning Representations (ICLR), 2022 Dan Qiao Yu Wang OffRL 177 14 0 03 Oct 2022
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-free RLInternational Conference on Learning Representations (ICLR), 2022 Ruiquan Huang J. Yang Yingbin Liang OffRL 176 9 0 28 Jun 2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RLNeural Information Processing Systems (NeurIPS), 2022 Jinglin Chen Aditya Modi A. Krishnamurthy Nan Jiang Alekh Agarwal 181 27 0 21 Jun 2022
BYOL-Explore: Exploration by Bootstrapped PredictionNeural Information Processing Systems (NeurIPS), 2022 Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 182 84 0 16 Jun 2022
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPsNeural Information Processing Systems (NeurIPS), 2022 Dongruo Zhou Quanquan Gu 160 52 0 23 May 2022
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function ApproximationInternational Conference on Machine Learning (ICML), 2022 Xiaoyu Chen Han Zhong Zhuoran Yang Zhaoran Wang Liwei Wang 267 79 0 23 May 2022
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision ProcessesInternational Conference on Machine Learning (ICML), 2022 Andrew Wagenmaker Yifang Chen Max Simchowitz S. Du Kevin Jamieson 155 53 0 26 Jan 2022
Adaptive Multi-Goal Exploration Jean Tarbouriech O. D. Domingues Pierre Ménard Matteo Pirotta Michal Valko A. Lazaric 203 4 0 23 Nov 2021
Towards Continual Reinforcement Learning: A Review and PerspectivesJournal of Artificial Intelligence Research (JAIR), 2020 Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 310 360 0 25 Dec 2020