A General Framework for Sample-Efficient Function Approximation in
Reinforcement Learning

A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning

30 September 2022

Quanquan Gu

Michael I. Jordan

Papers citing "A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning"

5 / 5 papers shown

Title
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation Long-Fei Li Yu-Jie Zhang Peng Zhao Zhi-Hua Zhou 101 4 0 17 Jan 2025
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation Yu Chen Xiangcheng Zhang Siwei Wang Longbo Huang 42 3 0 28 Feb 2024
The Effective Horizon Explains Deep RL Performance in Stochastic Environments Cassidy Laidlaw Banghua Zhu Stuart J. Russell Anca Dragan 33 2 0 13 Dec 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems Andrew Wagenmaker Guanya Shi Kevin G. Jamieson 36 14 0 15 Jun 2023
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 135 135 0 09 Dec 2019