Sample-Optimal Parametric Q-Learning Using Linearly Additive Features

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Sample-Optimal Parametric Q-Learning Using Linearly Additive Features

13 February 2019

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Papers citing "Sample-Optimal Parametric Q-Learning Using Linearly Additive Features"

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Title
Model-Based Reinforcement Learning with Value-Targeted Regression Alex Ayoub Zeyu Jia Csaba Szepesvári Mengdi Wang Lin F. Yang OffRL 118 306 0 01 Jun 2020
Learning Near Optimal Policies with Low Inherent Bellman Error Andrea Zanette A. Lazaric Mykel Kochenderfer Emma Brunskill OffRL 91 222 0 29 Feb 2020
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium Qiaomin Xie Yudong Chen Zhaoran Wang Zhuoran Yang 170 127 0 17 Feb 2020
Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning Yanchao Sun Furong Huang 63 4 0 21 Dec 2019
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration Andrea Zanette David Brandfonbrener Emma Brunskill Matteo Pirotta A. Lazaric 150 132 0 01 Nov 2019
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy Boyi Liu Qi Cai Zhuoran Yang Zhaoran Wang 90 111 0 25 Jun 2019
Feature-Based Q-Learning for Two-Player Stochastic Games Zeyu Jia Lin F. Yang Mengdi Wang 98 45 0 02 Jun 2019
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound Lin F. Yang Mengdi Wang OffRL GP 116 288 0 24 May 2019
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity Yibo Zeng Fei Feng W. Yin 56 3 0 03 Dec 2018
State Aggregation Learning from Markov Transition Data Shiqi Wang Yizheng Chen Ahmed Abdou 115 54 0 06 Nov 2018