Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?

7 October 2019

Papers citing "Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?"

50 / 152 papers shown

Title
A Model Selection Approach for Corruption Robust Reinforcement Learning Chen-Yu Wei Christoph Dann Julian Zimmert 88 44 0 31 Dec 2024
Demystifying Linear MDPs and Novel Dynamics Aggregation Framework Joongkyu Lee Min-hwan Oh 43 2 0 31 Oct 2024
Can we hop in general? A discussion of benchmark selection and design using the Hopper environment C. Voelcker Marcel Hussing Eric Eaton OffRL 31 3 0 11 Oct 2024
Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification Haolin Liu Artin Tajdini Andrew Wagenmaker Chen-Yu Wei 34 0 0 10 Oct 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning Jianye Xu Pan Hu Bassam Alrifaee 44 5 0 14 Aug 2024
Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs Kevin Tan Wei Fan Yuting Wei OffRL 77 2 0 08 Aug 2024
Misspecified $Q$ -Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error Ally Yalei Du Lin F. Yang Ruosong Wang 37 0 0 18 Jul 2024
Hybrid Reinforcement Learning from Offline Observation Alone Yuda Song J. Andrew Bagnell Aarti Singh OffRL 84 2 0 11 Jun 2024
Learning to Play Atari in a World of Tokens Pranav Agarwal Sheldon Andrews Samira Ebrahimi Kahou OffRL 38 0 0 03 Jun 2024
Oracle-Efficient Reinforcement Learning for Max Value Ensembles Marcel Hussing Michael Kearns Aaron Roth S. B. Sengupta Jessica Sorrell 43 0 0 27 May 2024
Contextual Affordances for Safe Exploration in Robotic Scenarios William Z. Ye Eduardo B. Sandoval Pamela Carreno-Medrano Francisco Cru 30 0 0 10 May 2024
Optimistic Information Directed Sampling Gergely Neu Matteo Papini Ludovic Schwartz 50 2 0 23 Feb 2024
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path Qiwei Di Jiafan He Dongruo Zhou Quanquan Gu 33 2 0 14 Feb 2024
Sample Complexity Characterization for Linear Contextual MDPs Junze Deng Yuan Cheng Shaofeng Zou Yingbin Liang 30 1 0 05 Feb 2024
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning P. Amortila Tongyi Cao Akshay Krishnamurthy OffRL OOD 46 2 0 22 Jan 2024
Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity Guhao Feng Han Zhong OffRL 76 2 0 28 Dec 2023
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning Zhaoyi Zhou Chuning Zhu Runlong Zhou Qiwen Cui Abhishek Gupta S. S. Du OffRL 40 8 0 30 Oct 2023
Sample Complexity of Preference-Based Nonparametric Off-Policy Evaluation with Deep Networks Zihao Li Xiang Ji Minshuo Chen Mengdi Wang OffRL 44 0 0 16 Oct 2023
When is Agnostic Reinforcement Learning Statistically Tractable? Zeyu Jia Gene Li Alexander Rakhlin Ayush Sekhari Nathan Srebro OffRL 32 5 0 09 Oct 2023
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning Qiwei Di Heyang Zhao Jiafan He Quanquan Gu OffRL 61 5 0 02 Oct 2023
The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation P. Amortila Nan Jiang Csaba Szepesvári OffRL 29 3 0 25 Jul 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 50 13 0 04 Jul 2023
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity Runyu Zhang Yang Hu Na Li 41 5 0 20 Jun 2023
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction Mohamed K. Abdel-Aziz Mohammed S. Elbamby S. Samarakoon M. Bennis 28 4 0 20 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 33 3 0 17 Jun 2023
Additive Causal Bandits with Unknown Graph Alan Malek Virginia Aglietti Silvia Chiappa CML 26 8 0 13 Jun 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation Jianhao Wang Jin Zhang Haozhe Jiang Junyu Zhang Liwei Wang Chongjie Zhang OffRL 26 9 0 31 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
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning Yulai Zhao Zhuoran Yang Zhaoran Wang Jason D. Lee 43 3 0 08 May 2023
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality Dhruv Malik Conor Igoe Yuanzhi Li Aarti Singh OffRL 16 1 0 04 May 2023
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits Yusha Liu Aarti Singh 27 1 0 26 Apr 2023
Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors Hoang-Giang Cao Weihao Zeng I-Chen Wu OffRL SSL 19 11 0 20 Apr 2023
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems Ivica Kicic Pantelis R. Vlachas G. Arampatzis Michail Chatzimanolakis Leonidas J. Guibas Petros Koumoutsakos AI4CE 22 6 0 04 Apr 2023
Does Sparsity Help in Learning Misspecified Linear Bandits? Jialin Dong Lin F. Yang 25 1 0 29 Mar 2023
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs Junkai Zhang Weitong Zhang Quanquan Gu 33 3 0 17 Mar 2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits Weitong Zhang Jiafan He Zhiyuan Fan Q. Gu 102 5 0 16 Mar 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
Provably Efficient Reinforcement Learning via Surprise Bound Hanlin Zhu Ruosong Wang Jason D. Lee OffRL 28 5 0 22 Feb 2023
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts Pantelis R. Vlachas Petros Koumoutsakos AI4TS AI4CE 23 7 0 22 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 39 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 4 0 08 Feb 2023
Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation Qiwen Cui Kaipeng Zhang S. Du 28 23 0 07 Feb 2023
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning Reimi Sato Kazuto Fukuchi Jun Sakuma Youhei Akimoto OffRL 18 0 0 31 Jan 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 25 4 0 29 Jan 2023
Exploration in Model-based Reinforcement Learning with Randomized Reward Lingxiao Wang Ping Li 11 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 43 6 0 19 Dec 2022
A Review of Off-Policy Evaluation in Reinforcement Learning Masatoshi Uehara C. Shi Nathan Kallus OffRL 36 47 0 13 Dec 2022
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes Jiafan He Heyang Zhao Dongruo Zhou Quanquan Gu OffRL 51 53 0 12 Dec 2022