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1910.03016
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Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
7 October 2019
S. Du
Sham Kakade
Ruosong Wang
Lin F. Yang
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Papers citing
"Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?"
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Title
A Model Selection Approach for Corruption Robust Reinforcement Learning
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Demystifying Linear MDPs and Novel Dynamics Aggregation Framework
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Can we hop in general? A discussion of benchmark selection and design using the Hopper environment
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11 Oct 2024
Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
Haolin Liu
Artin Tajdini
Andrew Wagenmaker
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10 Oct 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
Jianye Xu
Pan Hu
Bassam Alrifaee
44
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14 Aug 2024
Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs
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Wei Fan
Yuting Wei
OffRL
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08 Aug 2024
Misspecified
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-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error
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Lin F. Yang
Ruosong Wang
37
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18 Jul 2024
Hybrid Reinforcement Learning from Offline Observation Alone
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J. Andrew Bagnell
Aarti Singh
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84
2
0
11 Jun 2024
Learning to Play Atari in a World of Tokens
Pranav Agarwal
Sheldon Andrews
Samira Ebrahimi Kahou
OffRL
38
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0
03 Jun 2024
Oracle-Efficient Reinforcement Learning for Max Value Ensembles
Marcel Hussing
Michael Kearns
Aaron Roth
S. B. Sengupta
Jessica Sorrell
43
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0
27 May 2024
Contextual Affordances for Safe Exploration in Robotic Scenarios
William Z. Ye
Eduardo B. Sandoval
Pamela Carreno-Medrano
Francisco Cru
30
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0
10 May 2024
Optimistic Information Directed Sampling
Gergely Neu
Matteo Papini
Ludovic Schwartz
50
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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
28
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
13
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
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