Model-Based Reinforcement Learning with Value-Targeted Regression

1 June 2020

Papers citing "Model-Based Reinforcement Learning with Value-Targeted Regression"

23 / 223 papers shown

Title
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes Dongruo Zhou Quanquan Gu Csaba Szepesvári 24 204 0 15 Dec 2020
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL Andrea Zanette OffRL 26 71 0 14 Dec 2020
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation Jiafan He Dongruo Zhou Quanquan Gu 17 93 0 23 Nov 2020
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling Ying Fan Yifei Ming 33 17 0 20 Nov 2020
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning Sayak Ray Chowdhury Rafael Oliveira OffRL 22 3 0 16 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 39 18 0 09 Nov 2020
The Value Equivalence Principle for Model-Based Reinforcement Learning Christopher Grimm André Barreto Satinder Singh David Silver OffRL 13 84 0 06 Nov 2020
Forethought and Hindsight in Credit Assignment Veronica Chelu Doina Precup H. V. Hasselt 22 25 0 26 Oct 2020
Logistic Q-Learning Joan Bas-Serrano Sebastian Curi Andreas Krause Gergely Neu 14 40 0 21 Oct 2020
Nonstationary Reinforcement Learning with Linear Function Approximation Huozhi Zhou Jinglin Chen Lav Varshney A. Jagmohan 44 30 0 08 Oct 2020
Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective Dylan J. Foster Alexander Rakhlin D. Simchi-Levi Yunzong Xu 27 75 0 07 Oct 2020
Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs Jiafan He Dongruo Zhou Quanquan Gu 21 37 0 01 Oct 2020
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices Vu-Linh Nguyen S. B. Orbell D. Lennon H. Moon F. Vigneau ... D. Zumbuhl G. Briggs Michael A. Osborne D. Sejdinovic N. Ares 25 39 0 30 Sep 2020
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning Alekh Agarwal Mikael Henaff Sham Kakade Wen Sun OffRL 14 109 0 16 Jul 2020
Adaptive Discretization for Model-Based Reinforcement Learning Sean R. Sinclair Tianyu Wang Gauri Jain Siddhartha Banerjee Chao Yu OffRL 19 21 0 01 Jul 2020
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping Dongruo Zhou Jiafan He Quanquan Gu 30 133 0 23 Jun 2020
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 31 117 0 22 Jun 2020
On Reward-Free Reinforcement Learning with Linear Function Approximation Ruosong Wang S. Du Lin F. Yang Ruslan Salakhutdinov OffRL 27 105 0 19 Jun 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs Alekh Agarwal Sham Kakade A. Krishnamurthy Wen Sun OffRL 41 223 0 18 Jun 2020
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization Dongsheng Ding Xiaohan Wei Zhuoran Yang Zhaoran Wang M. Jovanović 20 159 0 01 Mar 2020
Policy-Aware Model Learning for Policy Gradient Methods Romina Abachi Mohammad Ghavamzadeh Amir-massoud Farahmand 14 34 0 28 Feb 2020
Provably Efficient Exploration in Policy Optimization Qi Cai Zhuoran Yang Chi Jin Zhaoran Wang 13 277 0 12 Dec 2019
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 135 135 0 09 Dec 2019