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v1v2 (latest)

Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound

International Conference on Machine Learning (ICML), 2019

24 May 2019

Papers citing "Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound"

50 / 226 papers shown

Title
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample ComplexityNeural Information Processing Systems (NeurIPS), 2022 Alekh Agarwal Tong Zhang 256 26 0 15 Jun 2022
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank StructureMeasurement and Modeling of Computer Systems (SIGMETRICS), 2022 Tyler Sam Yudong Chen Chao Yu OffRL 392 8 0 07 Jun 2022
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence OptimizationNeural Information Processing Systems (NeurIPS), 2022 Hui Yuan Chengzhuo Ni Huazheng Wang Xuezhou Zhang Le Cong Csaba Szepesvári Mengdi Wang 156 2 0 05 Jun 2022
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 Souradip Chakraborty Amrit Singh Bedi Alec Koppel Brian M. Sadler Furong Huang Erfaun Noorani Tianyi Zhou 213 10 0 02 Jun 2022
Stabilizing Q-learning with Linear Architectures for Provably Efficient LearningInternational Conference on Machine Learning (ICML), 2022 Andrea Zanette Martin J. Wainwright OOD 266 5 0 01 Jun 2022
Byzantine-Robust Online and Offline Distributed Reinforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Yiding Chen Xuezhou Zhang Jianchao Tan Mengdi Wang Xiaojin Zhu OffRL 272 22 0 01 Jun 2022
Provable Benefits of Representational Transfer in Reinforcement LearningAnnual Conference Computational Learning Theory (COLT), 2022 Alekh Agarwal Yuda Song Wen Sun Kaiwen Wang Mengdi Wang Xuezhou Zhang OffRL 259 37 0 29 May 2022
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPsNeural Information Processing Systems (NeurIPS), 2022 Dongruo Zhou Quanquan Gu 205 52 0 23 May 2022
Provably Efficient Kernelized Q-Learning Shuang Liu H. Su MLT 241 4 0 21 Apr 2022
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample EfficiencyInternational Conference on Machine Learning (ICML), 2022 Qi Cai Zhuoran Yang Zhaoran Wang 161 16 0 20 Apr 2022
Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior SamplingAnnual Conference Computational Learning Theory (COLT), 2022 Alekh Agarwal Tong Zhang 155 9 0 15 Mar 2022
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with PessimismInternational Conference on Learning Representations (ICLR), 2022 Ming Yin Yaqi Duan Mengdi Wang Yu Wang OffRL 228 68 0 11 Mar 2022
A Complete Characterization of Linear Estimators for Offline Policy EvaluationJournal of machine learning research (JMLR), 2022 Juan C. Perdomo A. Krishnamurthy Peter L. Bartlett Sham Kakade OffRL 236 4 0 08 Mar 2022
Target Network and Truncation Overcome The Deadly Triad in $Q$ -LearningSIAM Journal on Mathematics of Data Science (SIMODS), 2022 Zaiwei Chen John-Paul Clarke S. T. Maguluri 179 26 0 05 Mar 2022
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach Delin Qu Boxiang Lyu Qing-xin Meng Zhaoran Wang Zhuoran Yang Sai Li 207 9 0 25 Feb 2022
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints Yuhao Ding Javad Lavaei 315 12 0 28 Jan 2022
STOPS: Short-Term-based Volatility-controlled Policy Search and its Global Convergence Liang Xu Daoming Lyu Yangchen Pan Aiwen Jiang Bo Liu 373 0 0 24 Jan 2022
Meta Learning MDPs with Linear Transition ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Robert Muller Aldo Pacchiano 189 4 0 21 Jan 2022
Exponential Family Model-Based Reinforcement Learning via Score MatchingNeural Information Processing Systems (NeurIPS), 2021 Gen Li Junbo Li Anmol Kabra Nathan Srebro Zhaoran Wang Zhuoran Yang 217 5 0 28 Dec 2021
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-CriticNeural Information Processing Systems (NeurIPS), 2021 Yufeng Zhang Siyu Chen Zhuoran Yang Sai Li Zhaoran Wang 225 5 0 27 Dec 2021
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? Han Zhong Zhuoran Yang Zhaoran Wang Sai Li 245 33 0 27 Dec 2021
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDPInternational Conference on Machine Learning (ICML), 2021 Liyu Chen Rahul Jain Haipeng Luo 154 15 0 18 Dec 2021
Recent Advances in Reinforcement Learning in Finance B. Hambly Renyuan Xu Huining Yang OffRL 465 229 0 08 Dec 2021
Offline Neural Contextual Bandits: Pessimism, Optimization and GeneralizationInternational Conference on Learning Representations (ICLR), 2021 Thanh Nguyen-Tang Sunil R. Gupta A. Nguyen Svetha Venkatesh OffRL 182 33 0 27 Nov 2021
A Free Lunch from the Noise: Provable and Practical Exploration for Representation LearningConference on Uncertainty in Artificial Intelligence (UAI), 2021 Zhaolin Ren Tianjun Zhang Csaba Szepesvári Bo Dai 213 22 0 22 Nov 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations Akifumi Wachi Yunyue Wei Yanan Sui OffRL 172 11 0 09 Nov 2021
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPsNeural Information Processing Systems (NeurIPS), 2021 Yeoneung Kim Insoon Yang Kwang-Sung Jun 183 43 0 05 Nov 2021
Reinforcement Learning in Linear MDPs: Constant Regret and Representation SelectionNeural Information Processing Systems (NeurIPS), 2021 Matteo Papini Andrea Tirinzoni Aldo Pacchiano Marcello Restelli A. Lazaric Matteo Pirotta 203 21 0 27 Oct 2021
Learning Stochastic Shortest Path with Linear Function ApproximationInternational Conference on Machine Learning (ICML), 2021 Steffen Czolbe Jiafan He Adrian Dalca Quanquan Gu 306 33 0 25 Oct 2021
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes Chonghua Liao Jiafan He Quanquan Gu 204 18 0 19 Oct 2021
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game Delin Qu Jieping Ye Zhaoran Wang Zhuoran Yang OffRL 221 25 0 19 Oct 2021
Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs Han Zhong Zhuoran Yang Zhaoran Wang Csaba Szepesvári 295 21 0 18 Oct 2021
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation Weitong Zhang Dongruo Zhou Quanquan Gu OffRL 253 31 0 12 Oct 2021
Representation Learning for Online and Offline RL in Low-rank MDPsInternational Conference on Learning Representations (ICLR), 2021 Masatoshi Uehara Xuezhou Zhang Wen Sun OffRL 389 134 0 09 Oct 2021
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning Andrea Zanette Martin J. Wainwright Emma Brunskill OffRL 238 128 0 19 Aug 2021
Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation Zhihan Liu Yufeng Zhang Zuyue Fu Zhuoran Yang Zhaoran Wang OffRL 111 7 0 19 Aug 2021
Efficient Local Planning with Linear Function ApproximationInternational Conference on Algorithmic Learning Theory (ALT), 2021 Dong Yin Botao Hao Yasin Abbasi-Yadkori N. Lazić Csaba Szepesvári 333 21 0 12 Aug 2021
Towards General Function Approximation in Zero-Sum Markov GamesInternational Conference on Learning Representations (ICLR), 2021 Baihe Huang Jason D. Lee Zhaoran Wang Zhuoran Yang 218 49 0 30 Jul 2021
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated BonusesNeural Information Processing Systems (NeurIPS), 2021 Haipeng Luo Chen-Yu Wei Chung-Wei Lee 222 48 0 18 Jul 2021
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided ExplorationInternational Conference on Machine Learning (ICML), 2021 Yuda Song Wen Sun 237 23 0 15 Jul 2021
Going Beyond Linear RL: Sample Efficient Neural Function Approximation Baihe Huang Kaixuan Huang Sham Kakade Jason D. Lee Qi Lei Runzhe Wang Jiaqi Yang 162 9 0 14 Jul 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 329 159 0 13 Jul 2021
Model Selection for Generic Reinforcement Learning Avishek Ghosh Sayak Ray Chowdhury Kannan Ramchandran 166 1 0 13 Jul 2021
Gap-Dependent Bounds for Two-Player Markov Games Zehao Dou Zhuoran Yang Zhaoran Wang S. Du 105 8 0 01 Jul 2021
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RLConference on Uncertainty in Artificial Intelligence (UAI), 2021 Weitong Zhang Jiafan He Dongruo Zhou Amy Zhang Quanquan Gu OffRL 211 12 0 22 Jun 2021
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich ObservationsNeural Information Processing Systems (NeurIPS), 2021 Christoph Dann Yishay Mansour M. Mohri Ayush Sekhari Karthik Sridharan OffRL 121 12 0 22 Jun 2021
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond LinearityInternational Conference on Machine Learning (ICML), 2021 Dhruv Malik Aldo Pacchiano Vishwak Srinivasan Yuanzhi Li 141 7 0 15 Jun 2021
Online Sub-Sampling for Reinforcement Learning with General Function Approximation Dingwen Kong Ruslan Salakhutdinov Ruosong Wang Lin F. Yang OffRL 187 1 0 14 Jun 2021
Multi-facet Contextual Bandits: A Neural Network PerspectiveKnowledge Discovery and Data Mining (KDD), 2021 Yikun Ban Jingrui He C. Cook 309 29 0 06 Jun 2021
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative ModelNeural Information Processing Systems (NeurIPS), 2021 Bingyan Wang Yuling Yan Jianqing Fan 389 22 0 28 May 2021

v1v2 (latest)

Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound

International Conference on Machine Learning (ICML), 2019

24 May 2019

Papers citing "Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound"

50 / 226 papers shown

Title
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample ComplexityNeural Information Processing Systems (NeurIPS), 2022 Alekh Agarwal Tong Zhang 256 26 0 15 Jun 2022
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank StructureMeasurement and Modeling of Computer Systems (SIGMETRICS), 2022 Tyler Sam Yudong Chen Chao Yu OffRL 392 8 0 07 Jun 2022
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence OptimizationNeural Information Processing Systems (NeurIPS), 2022 Hui Yuan Chengzhuo Ni Huazheng Wang Xuezhou Zhang Le Cong Csaba Szepesvári Mengdi Wang 156 2 0 05 Jun 2022
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 Souradip Chakraborty Amrit Singh Bedi Alec Koppel Brian M. Sadler Furong Huang Erfaun Noorani Tianyi Zhou 213 10 0 02 Jun 2022
Stabilizing Q-learning with Linear Architectures for Provably Efficient LearningInternational Conference on Machine Learning (ICML), 2022 Andrea Zanette Martin J. Wainwright OOD 266 5 0 01 Jun 2022
Byzantine-Robust Online and Offline Distributed Reinforcement LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Yiding Chen Xuezhou Zhang Jianchao Tan Mengdi Wang Xiaojin Zhu OffRL 272 22 0 01 Jun 2022
Provable Benefits of Representational Transfer in Reinforcement LearningAnnual Conference Computational Learning Theory (COLT), 2022 Alekh Agarwal Yuda Song Wen Sun Kaiwen Wang Mengdi Wang Xuezhou Zhang OffRL 259 37 0 29 May 2022
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPsNeural Information Processing Systems (NeurIPS), 2022 Dongruo Zhou Quanquan Gu 205 52 0 23 May 2022
Provably Efficient Kernelized Q-Learning Shuang Liu H. Su MLT 241 4 0 21 Apr 2022
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample EfficiencyInternational Conference on Machine Learning (ICML), 2022 Qi Cai Zhuoran Yang Zhaoran Wang 161 16 0 20 Apr 2022
Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior SamplingAnnual Conference Computational Learning Theory (COLT), 2022 Alekh Agarwal Tong Zhang 155 9 0 15 Mar 2022
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with PessimismInternational Conference on Learning Representations (ICLR), 2022 Ming Yin Yaqi Duan Mengdi Wang Yu Wang OffRL 228 68 0 11 Mar 2022
A Complete Characterization of Linear Estimators for Offline Policy EvaluationJournal of machine learning research (JMLR), 2022 Juan C. Perdomo A. Krishnamurthy Peter L. Bartlett Sham Kakade OffRL 236 4 0 08 Mar 2022
Target Network and Truncation Overcome The Deadly Triad in $Q$ -LearningSIAM Journal on Mathematics of Data Science (SIMODS), 2022 Zaiwei Chen John-Paul Clarke S. T. Maguluri 179 26 0 05 Mar 2022
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach Delin Qu Boxiang Lyu Qing-xin Meng Zhaoran Wang Zhuoran Yang Sai Li 207 9 0 25 Feb 2022
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints Yuhao Ding Javad Lavaei 315 12 0 28 Jan 2022
STOPS: Short-Term-based Volatility-controlled Policy Search and its Global Convergence Liang Xu Daoming Lyu Yangchen Pan Aiwen Jiang Bo Liu 373 0 0 24 Jan 2022
Meta Learning MDPs with Linear Transition ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Robert Muller Aldo Pacchiano 189 4 0 21 Jan 2022
Exponential Family Model-Based Reinforcement Learning via Score MatchingNeural Information Processing Systems (NeurIPS), 2021 Gen Li Junbo Li Anmol Kabra Nathan Srebro Zhaoran Wang Zhuoran Yang 217 5 0 28 Dec 2021
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-CriticNeural Information Processing Systems (NeurIPS), 2021 Yufeng Zhang Siyu Chen Zhuoran Yang Sai Li Zhaoran Wang 225 5 0 27 Dec 2021
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? Han Zhong Zhuoran Yang Zhaoran Wang Sai Li 245 33 0 27 Dec 2021
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDPInternational Conference on Machine Learning (ICML), 2021 Liyu Chen Rahul Jain Haipeng Luo 154 15 0 18 Dec 2021
Recent Advances in Reinforcement Learning in Finance B. Hambly Renyuan Xu Huining Yang OffRL 465 229 0 08 Dec 2021
Offline Neural Contextual Bandits: Pessimism, Optimization and GeneralizationInternational Conference on Learning Representations (ICLR), 2021 Thanh Nguyen-Tang Sunil R. Gupta A. Nguyen Svetha Venkatesh OffRL 182 33 0 27 Nov 2021
A Free Lunch from the Noise: Provable and Practical Exploration for Representation LearningConference on Uncertainty in Artificial Intelligence (UAI), 2021 Zhaolin Ren Tianjun Zhang Csaba Szepesvári Bo Dai 213 22 0 22 Nov 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations Akifumi Wachi Yunyue Wei Yanan Sui OffRL 172 11 0 09 Nov 2021
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPsNeural Information Processing Systems (NeurIPS), 2021 Yeoneung Kim Insoon Yang Kwang-Sung Jun 183 43 0 05 Nov 2021
Reinforcement Learning in Linear MDPs: Constant Regret and Representation SelectionNeural Information Processing Systems (NeurIPS), 2021 Matteo Papini Andrea Tirinzoni Aldo Pacchiano Marcello Restelli A. Lazaric Matteo Pirotta 203 21 0 27 Oct 2021
Learning Stochastic Shortest Path with Linear Function ApproximationInternational Conference on Machine Learning (ICML), 2021 Steffen Czolbe Jiafan He Adrian Dalca Quanquan Gu 306 33 0 25 Oct 2021
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes Chonghua Liao Jiafan He Quanquan Gu 204 18 0 19 Oct 2021
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game Delin Qu Jieping Ye Zhaoran Wang Zhuoran Yang OffRL 221 25 0 19 Oct 2021
Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs Han Zhong Zhuoran Yang Zhaoran Wang Csaba Szepesvári 295 21 0 18 Oct 2021
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation Weitong Zhang Dongruo Zhou Quanquan Gu OffRL 253 31 0 12 Oct 2021
Representation Learning for Online and Offline RL in Low-rank MDPsInternational Conference on Learning Representations (ICLR), 2021 Masatoshi Uehara Xuezhou Zhang Wen Sun OffRL 389 134 0 09 Oct 2021
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning Andrea Zanette Martin J. Wainwright Emma Brunskill OffRL 238 128 0 19 Aug 2021
Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation Zhihan Liu Yufeng Zhang Zuyue Fu Zhuoran Yang Zhaoran Wang OffRL 111 7 0 19 Aug 2021
Efficient Local Planning with Linear Function ApproximationInternational Conference on Algorithmic Learning Theory (ALT), 2021 Dong Yin Botao Hao Yasin Abbasi-Yadkori N. Lazić Csaba Szepesvári 333 21 0 12 Aug 2021
Towards General Function Approximation in Zero-Sum Markov GamesInternational Conference on Learning Representations (ICLR), 2021 Baihe Huang Jason D. Lee Zhaoran Wang Zhuoran Yang 218 49 0 30 Jul 2021
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated BonusesNeural Information Processing Systems (NeurIPS), 2021 Haipeng Luo Chen-Yu Wei Chung-Wei Lee 222 48 0 18 Jul 2021
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided ExplorationInternational Conference on Machine Learning (ICML), 2021 Yuda Song Wen Sun 237 23 0 15 Jul 2021
Going Beyond Linear RL: Sample Efficient Neural Function Approximation Baihe Huang Kaixuan Huang Sham Kakade Jason D. Lee Qi Lei Runzhe Wang Jiaqi Yang 162 9 0 14 Jul 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 329 159 0 13 Jul 2021
Model Selection for Generic Reinforcement Learning Avishek Ghosh Sayak Ray Chowdhury Kannan Ramchandran 166 1 0 13 Jul 2021
Gap-Dependent Bounds for Two-Player Markov Games Zehao Dou Zhuoran Yang Zhaoran Wang S. Du 105 8 0 01 Jul 2021
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RLConference on Uncertainty in Artificial Intelligence (UAI), 2021 Weitong Zhang Jiafan He Dongruo Zhou Amy Zhang Quanquan Gu OffRL 211 12 0 22 Jun 2021
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich ObservationsNeural Information Processing Systems (NeurIPS), 2021 Christoph Dann Yishay Mansour M. Mohri Ayush Sekhari Karthik Sridharan OffRL 121 12 0 22 Jun 2021
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond LinearityInternational Conference on Machine Learning (ICML), 2021 Dhruv Malik Aldo Pacchiano Vishwak Srinivasan Yuanzhi Li 141 7 0 15 Jun 2021
Online Sub-Sampling for Reinforcement Learning with General Function Approximation Dingwen Kong Ruslan Salakhutdinov Ruosong Wang Lin F. Yang OffRL 187 1 0 14 Jun 2021
Multi-facet Contextual Bandits: A Neural Network PerspectiveKnowledge Discovery and Data Mining (KDD), 2021 Yikun Ban Jingrui He C. Cook 309 29 0 06 Jun 2021
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative ModelNeural Information Processing Systems (NeurIPS), 2021 Bingyan Wang Yuling Yan Jianqing Fan 389 22 0 28 May 2021