Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms

1 February 2021

Papers citing "Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms"

5 / 55 papers shown

Title
Towards General Function Approximation in Zero-Sum Markov Games Baihe Huang Jason D. Lee Zhaoran Wang Zhuoran Yang 30 47 0 30 Jul 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 24 28 0 17 May 2021
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP Zihan Zhang Jiaqi Yang Xiangyang Ji S. Du 68 36 0 29 Jan 2021
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 135 135 0 09 Dec 2019
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 214 1,326 0 05 Jun 2016