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
Adaptive Multi-Goal Exploration Jean Tarbouriech O. D. Domingues Pierre Ménard Matteo Pirotta Michal Valko A. Lazaric 28 2 0 23 Nov 2021
Learning Representations for Pixel-based Control: What Matters and Why? Manan Tomar Utkarsh Aashu Mishra Amy Zhang Matthew E. Taylor SSL OffRL 28 24 0 15 Nov 2021
Adaptive Discretization in Online Reinforcement Learning Sean R. Sinclair Siddhartha Banerjee Chao Yu OffRL 42 15 0 29 Oct 2021
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection Matteo Papini Andrea Tirinzoni Aldo Pacchiano Marcello Restelli A. Lazaric Matteo Pirotta 19 18 0 27 Oct 2021
Learning Stochastic Shortest Path with Linear Function Approximation Steffen Czolbe Jiafan He Adrian Dalca Quanquan Gu 39 30 0 25 Oct 2021
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes Chonghua Liao Jiafan He Quanquan Gu 27 17 0 19 Oct 2021
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game Shuang Qiu Jieping Ye Zhaoran Wang Zhuoran Yang OffRL 39 23 0 19 Oct 2021
Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs Han Zhong Zhuoran Yang Zhaoran Wang Csaba Szepesvári 42 21 0 18 Oct 2021
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation Weitong Zhang Dongruo Zhou Quanquan Gu OffRL 22 27 0 12 Oct 2021
Understanding Domain Randomization for Sim-to-real Transfer Xiaoyu Chen Jiachen Hu Chi Jin Lihong Li Liwei Wang 24 112 0 07 Oct 2021
Improved Algorithms for Misspecified Linear Markov Decision Processes Daniel Vial Advait Parulekar Sanjay Shakkottai R. Srikant 13 6 0 12 Sep 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 28 6 0 19 Aug 2021
Efficient Local Planning with Linear Function Approximation Dong Yin Botao Hao Yasin Abbasi-Yadkori N. Lazić Csaba Szepesvári 32 19 0 12 Aug 2021
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration Yuda Song Wen Sun 37 21 0 15 Jul 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 100 146 0 13 Jul 2021
Model Selection for Generic Reinforcement Learning Avishek Ghosh Sayak Ray Chowdhury Kannan Ramchandran 16 1 0 13 Jul 2021
Gap-Dependent Bounds for Two-Player Markov Games Zehao Dou Zhuoran Yang Zhaoran Wang S. Du 11 6 0 01 Jul 2021
Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice Nirbhay Modhe Harish Kamath Dhruv Batra Ashwin Kalyan OffRL 19 2 0 26 Jun 2021
A Fully Problem-Dependent Regret Lower Bound for Finite-Horizon MDPs Andrea Tirinzoni Matteo Pirotta A. Lazaric 19 16 0 24 Jun 2021
Variance-Aware Off-Policy Evaluation with Linear Function Approximation Yifei Min Tianhao Wang Dongruo Zhou Quanquan Gu OffRL 37 38 0 22 Jun 2021
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RL Weitong Zhang Jiafan He Dongruo Zhou Amy Zhang Quanquan Gu OffRL 22 11 0 22 Jun 2021
Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation Jiafan He Dongruo Zhou Quanquan Gu 11 12 0 22 Jun 2021
Proper Value Equivalence Christopher Grimm André Barreto Gregory Farquhar David Silver Satinder Singh OffRL 13 33 0 18 Jun 2021
MADE: Exploration via Maximizing Deviation from Explored Regions Tianjun Zhang Paria Rashidinejad Jiantao Jiao Yuandong Tian Joseph E. Gonzalez Stuart J. Russell OffRL 34 42 0 18 Jun 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 32 43 0 15 Jun 2021
Online Sub-Sampling for Reinforcement Learning with General Function Approximation Dingwen Kong Ruslan Salakhutdinov Ruosong Wang Lin F. Yang OffRL 38 1 0 14 Jun 2021
Thompson Sampling with a Mixture Prior Joey Hong B. Kveton Manzil Zaheer Mohammad Ghavamzadeh Craig Boutilier 21 12 0 10 Jun 2021
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation Evgenii Nikishin Romina Abachi Rishabh Agarwal Pierre-Luc Bacon OffRL 52 35 0 06 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 26 28 0 17 May 2021
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings Ming Yin Yu Wang OffRL 32 19 0 13 May 2021
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation Daniel Vial Advait Parulekar Sanjay Shakkottai R. Srikant 42 15 0 04 May 2021
Understanding the Eluder Dimension Gen Li Pritish Kamath Dylan J. Foster Nathan Srebro 28 11 0 14 Apr 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 39 43 0 23 Mar 2021
Bilinear Classes: A Structural Framework for Provable Generalization in RL S. Du Sham Kakade Jason D. Lee Shachar Lovett G. Mahajan Wen Sun Ruosong Wang OffRL 38 188 0 19 Mar 2021
Deep reinforcement learning in medical imaging: A literature review S. Kevin Zhou Hoang Ngan Le Khoa Luu Hien V Nguyen N. Ayache LM&MA OffRL MedIm 29 146 0 05 Mar 2021
Online Learning for Unknown Partially Observable MDPs Mehdi Jafarnia-Jahromi Rahul Jain A. Nayyar 34 20 0 25 Feb 2021
Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs Jiafan He Dongruo Zhou Quanquan Gu 95 24 0 17 Feb 2021
Almost Optimal Algorithms for Two-player Zero-Sum Linear Mixture Markov Games Zixiang Chen Dongruo Zhou Quanquan Gu 20 25 0 15 Feb 2021
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation Yue Wu Dongruo Zhou Quanquan Gu 19 21 0 15 Feb 2021
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 102 78 0 14 Feb 2021
Robust Policy Gradient against Strong Data Corruption Xuezhou Zhang Yiding Chen Xiaojin Zhu Wen Sun AAML 40 37 0 11 Feb 2021
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature Kefan Dong Jiaqi Yang Tengyu Ma 24 32 0 08 Feb 2021
Near-optimal Representation Learning for Linear Bandits and Linear RL Jiachen Hu Xiaoyu Chen Chi Jin Lihong Li Liwei Wang OffRL 20 51 0 08 Feb 2021
On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function Gellert Weisz P. Amortila Barnabás Janzer Yasin Abbasi-Yadkori Nan Jiang Csaba Szepesvári OffRL 14 20 0 03 Feb 2021
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP Zihan Zhang Jiaqi Yang Xiangyang Ji S. Du 71 36 0 29 Jan 2021
Closing the Planning-Learning Loop with Application to Autonomous Driving Panpan Cai David Hsu 34 13 0 11 Jan 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 122 166 0 06 Jan 2021
A Provably Efficient Algorithm for Linear Markov Decision Process with Low Switching Cost Minbo Gao Tianle Xie S. Du Lin F. Yang 36 45 0 02 Jan 2021
Is Pessimism Provably Efficient for Offline RL? Ying Jin Zhuoran Yang Zhaoran Wang OffRL 27 349 0 30 Dec 2020