Optimism in Reinforcement Learning with Generalized Linear Function Approximation

9 December 2019

Papers citing "Optimism in Reinforcement Learning with Generalized Linear Function Approximation"

34 / 34 papers shown

Title
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games Tong Yang Bo Dai Lin Xiao Yuejie Chi OffRL 56 2 0 13 Feb 2025
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation Long-Fei Li Yu-Jie Zhang Peng Zhao Zhi-Hua Zhou 92 4 0 17 Jan 2025
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation Taehyun Cho Seung Han Kyungjae Lee Seokhun Ju Dohyeong Kim Jungwoo Lee 64 0 0 31 Jul 2024
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control Michal Nauman M. Ostaszewski Krzysztof Jankowski Piotr Milo's Marek Cygan OffRL 37 16 0 25 May 2024
Horizon-Free Regret for Linear Markov Decision Processes Zihan Zhang Jason D. Lee Yuxin Chen Simon S. Du 33 3 0 15 Mar 2024
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 29 1 0 30 Oct 2023
Does Sparsity Help in Learning Misspecified Linear Bandits? Jialin Dong Lin F. Yang 17 1 0 29 Mar 2023
Provably Efficient Reinforcement Learning via Surprise Bound Hanlin Zhu Ruosong Wang Jason D. Lee OffRL 13 5 0 22 Feb 2023
Reinforcement Learning with Function Approximation: From Linear to Nonlinear Jihao Long Jiequn Han 19 5 0 20 Feb 2023
Selective Uncertainty Propagation in Offline RL Sanath Kumar Krishnamurthy Shrey Modi Tanmay Gangwani S. Katariya B. Kveton A. Rangi OffRL 59 0 0 01 Feb 2023
Multi-Agent Congestion Cost Minimization With Linear Function Approximations Prashant Trivedi N. Hemachandra 30 0 0 26 Jan 2023
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes Jiafan He Heyang Zhao Dongruo Zhou Quanquan Gu OffRL 45 53 0 12 Dec 2022
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation Xiaoteng Ma Zhipeng Liang Jose H. Blanchet MingWen Liu Li Xia Jiheng Zhang Qianchuan Zhao Zhengyuan Zhou OOD OffRL 33 22 0 14 Sep 2022
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning Christoph Dann M. Mohri Tong Zhang Julian Zimmert OffRL 16 32 0 23 Aug 2022
Stabilizing Q-learning with Linear Architectures for Provably Efficient Learning Andrea Zanette Martin J. Wainwright OOD 34 5 0 01 Jun 2022
Provably Efficient Kernelized Q-Learning Shuang Liu H. Su MLT 17 4 0 21 Apr 2022
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism Ming Yin Yaqi Duan Mengdi Wang Yu-Xiang Wang OffRL 32 65 0 11 Mar 2022
Safe Policy Optimization with Local Generalized Linear Function Approximations Akifumi Wachi Yunyue Wei Yanan Sui OffRL 17 10 0 09 Nov 2021
Perturbational Complexity by Distribution Mismatch: A Systematic Analysis of Reinforcement Learning in Reproducing Kernel Hilbert Space Jihao Long Jiequn Han 25 6 0 05 Nov 2021
Adaptive Discretization in Online Reinforcement Learning Sean R. Sinclair Siddhartha Banerjee C. Yu OffRL 32 15 0 29 Oct 2021
Learning Stochastic Shortest Path with Linear Function Approximation Steffen Czolbe Jiafan He Adrian V. Dalca Quanquan Gu 33 30 0 25 Oct 2021
Towards General Function Approximation in Zero-Sum Markov Games Baihe Huang Jason D. Lee Zhaoran Wang Zhuoran Yang 25 47 0 30 Jul 2021
Randomized Exploration for Reinforcement Learning with General Value Function Approximation Haque Ishfaq Qiwen Cui V. Nguyen Alex Ayoub Zhuoran Yang Zhaoran Wang Doina Precup Lin F. Yang 15 43 0 15 Jun 2021
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting Gen Li Yuxin Chen Yuejie Chi Yuantao Gu Yuting Wei OffRL 19 28 0 17 May 2021
Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation Andrea Zanette Ching-An Cheng Alekh Agarwal 32 52 0 24 Mar 2021
An Exponential Lower Bound for Linearly-Realizable MDPs with Constant Suboptimality Gap Yuanhao Wang Ruosong Wang Sham Kakade OffRL 35 43 0 23 Mar 2021
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms Chi Jin Qinghua Liu Sobhan Miryoosefi OffRL 26 212 0 01 Feb 2021
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP Zihan Zhang Jiaqi Yang Xiangyang Ji S. Du 63 36 0 29 Jan 2021
Regret Bounds for Adaptive Nonlinear Control Nicholas M. Boffi Stephen Tu Jean-Jacques E. Slotine 41 47 0 26 Nov 2020
On Function Approximation in Reinforcement Learning: Optimism in the Face of Large State Spaces Zhuoran Yang Chi Jin Zhaoran Wang Mengdi Wang Michael I. Jordan 20 18 0 09 Nov 2020
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping Dongruo Zhou Jiafan He Quanquan Gu 27 133 0 23 Jun 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs Alekh Agarwal Sham Kakade A. Krishnamurthy Wen Sun OffRL 32 221 0 18 Jun 2020
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension Ruosong Wang Ruslan Salakhutdinov Lin F. Yang 18 55 0 21 May 2020
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium Qiaomin Xie Yudong Chen Zhaoran Wang Zhuoran Yang 20 124 0 17 Feb 2020