Model-Based Reinforcement Learning with Value-Targeted Regression

1 June 2020

Papers citing "Model-Based Reinforcement Learning with Value-Targeted Regression"

50 / 223 papers shown

Title
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP Jiacheng Guo Zihao Li Huazheng Wang Mengdi Wang Zhuoran Yang Xuezhou Zhang 37 5 0 21 Jun 2023
On the Model-Misspecification in Reinforcement Learning Yunfan Li Lin F. Yang 44 5 0 19 Jun 2023
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions Nishil Patel Sebastian Lee Stefano Sarao Mannelli Sebastian Goldt Adrew Saxe OffRL 38 3 0 17 Jun 2023
Theoretical Hardness and Tractability of POMDPs in RL with Partial Online State Information Ming Shi Yingbin Liang Ness B. Shroff 34 2 0 14 Jun 2023
Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds Jiayi Huang Han Zhong Liwei Wang Lin F. Yang 24 6 0 12 Jun 2023
Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures Hao Liang Zhihui Luo 27 4 0 04 Jun 2023
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration Zhihan Liu Miao Lu Wei Xiong Han Zhong Haotian Hu Shenao Zhang Sirui Zheng Zhuoran Yang Zhaoran Wang OffRL 53 22 0 29 May 2023
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 30 20 0 29 May 2023
On the Statistical Efficiency of Mean Field Reinforcement Learning with General Function Approximation Jiawei Huang Batuhan Yardim Niao He 44 10 0 18 May 2023
A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes Han Zhong Tong Zhang 35 26 0 15 May 2023
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs Kaixuan Ji Qingyue Zhao Jiafan He Weitong Zhang Q. Gu 55 4 0 15 May 2023
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension Yue Wu Jiafan He Quanquan Gu 19 2 0 15 May 2023
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback Tal Lancewicki Aviv A. Rosenberg Dmitry Sotnikov 29 3 0 13 May 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation Yifei Min Jiafan He Tianhao Wang Quanquan Gu 38 7 0 10 May 2023
Bayesian Reinforcement Learning with Limited Cognitive Load Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy OffRL 34 8 0 05 May 2023
What can online reinforcement learning with function approximation benefit from general coverage conditions? Fanghui Liu Luca Viano V. Cevher OffRL 34 2 0 25 Apr 2023
Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning Dingwen Kong Lin F. Yang 37 9 0 18 Apr 2023
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning Gen Li Yuling Yan Yuxin Chen Jianqing Fan OffRL 76 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 41 8 0 20 Mar 2023
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs Junkai Zhang Weitong Zhang Quanquan Gu 33 3 0 17 Mar 2023
Variance-aware robust reinforcement learning with linear function approximation under heavy-tailed rewards Xiang Li Qiang Sun 32 8 0 09 Mar 2023
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms Anirudh Vemula Yuda Song Aarti Singh J. Andrew Bagnell Sanjiban Choudhury OffRL 38 13 0 01 Mar 2023
Optimistic Planning by Regularized Dynamic Programming Antoine Moulin Gergely Neu 19 4 0 27 Feb 2023
The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning Haotian Hu Yiqin Yang Qianchuan Zhao Chongjie Zhang OffRL 11 5 0 27 Feb 2023
Exponential Hardness of Reinforcement Learning with Linear Function Approximation Daniel M. Kane Sihan Liu Shachar Lovett G. Mahajan Csaba Szepesvári Gellert Weisz 46 3 0 25 Feb 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning Ruitu Xu Yifei Min Tianhao Wang Zhaoran Wang Michael I. Jordan Zhuoran Yang 36 6 0 24 Feb 2023
Provably Efficient Reinforcement Learning via Surprise Bound Hanlin Zhu Ruosong Wang Jason D. Lee OffRL 28 5 0 22 Feb 2023
Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret Han Zhong Jiachen Hu Yecheng Xue Tongyang Li Liwei Wang 26 5 0 21 Feb 2023
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency Heyang Zhao Jiafan He Dongruo Zhou Tong Zhang Quanquan Gu 42 27 0 21 Feb 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning Volodymyr Tkachuk Seyed Alireza Bakhtiari Johannes Kirschner Matej Jusup Ilija Bogunovic Csaba Szepesvári 32 5 0 08 Feb 2023
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints Ming Shi Yitao Liang Ness B. Shroff 48 8 0 08 Feb 2023
Sample Complexity of Kernel-Based Q-Learning Sing-Yuan Yeh Fu-Chieh Chang Chang-Wei Yueh Pei-Yuan Wu A. Bernacchia Sattar Vakili OffRL 30 4 0 01 Feb 2023
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation Uri Sherman Tomer Koren Yishay Mansour 32 12 0 30 Jan 2023
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning Souradip Chakraborty Amrit Singh Bedi Alec Koppel Mengdi Wang Furong Huang Dinesh Manocha 24 7 0 28 Jan 2023
Multi-Agent Congestion Cost Minimization With Linear Function Approximations Prashant Trivedi N. Hemachandra 37 0 0 26 Jan 2023
Minimal Value-Equivalent Partial Models for Scalable and Robust Planning in Lifelong Reinforcement Learning Safa Alver Doina Precup OffRL 24 5 0 24 Jan 2023
Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient Dylan J. Foster Noah Golowich Yanjun Han OffRL 33 29 0 19 Jan 2023
Exploration in Model-based Reinforcement Learning with Randomized Reward Lingxiao Wang Ping Li 19 0 0 09 Jan 2023
Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation Taehyun Hwang Min Hwan Oh 52 8 0 27 Dec 2022
Near-optimal Policy Identification in Active Reinforcement Learning Xiang Li Viraj Mehta Johannes Kirschner I. Char Willie Neiswanger J. Schneider Andreas Krause Ilija Bogunovic OffRL 45 6 0 19 Dec 2022
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes Jiafan He Heyang Zhao Dongruo Zhou Quanquan Gu OffRL 51 55 0 12 Dec 2022
Near-Optimal Differentially Private Reinforcement Learning Dan Qiao Yu Wang 30 13 0 09 Dec 2022
Eluder-based Regret for Stochastic Contextual MDPs Orin Levy Asaf B. Cassel Alon Cohen Yishay Mansour 33 5 0 27 Nov 2022
Model-Free Reinforcement Learning with the Decision-Estimation Coefficient Dylan J. Foster Noah Golowich Jian Qian Alexander Rakhlin Ayush Sekhari OffRL 38 9 0 25 Nov 2022
Operator Splitting Value Iteration Amin Rakhsha Andrew Wang Mohammad Ghavamzadeh Amir-massoud Farahmand OffRL 33 7 0 25 Nov 2022
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation Thanh Nguyen-Tang Ming Yin Sunil R. Gupta Svetha Venkatesh R. Arora OffRL 58 16 0 23 Nov 2022
Linear Reinforcement Learning with Ball Structure Action Space Zeyu Jia Randy Jia Dhruv Madeka Dean Phillips Foster 31 1 0 14 Nov 2022
Leveraging Offline Data in Online Reinforcement Learning Andrew Wagenmaker Aldo Pacchiano OffRL OnRL 35 38 0 09 Nov 2022
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy 31 4 0 30 Oct 2022
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations Jiachen Hu Han Zhong Chi Jin Liwei Wang 27 7 0 27 Oct 2022