A Unified Approach for Multi-step Temporal-Difference Learning with
Eligibility Traces in Reinforcement Learning

A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning

9 February 2018

Qian Zheng

Gang Pan

Papers citing "A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning"

5 / 5 papers shown

Title
Constrained Update Projection Approach to Safe Policy Optimization Long Yang Jiaming Ji Juntao Dai Linrui Zhang Binbin Zhou Pengfei Li Yaodong Yang Gang Pan 41 43 0 15 Sep 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 117 241 0 20 May 2022
Reducing Sampling Error in Batch Temporal Difference Learning Brahma S. Pavse Ishan Durugkar Josiah P. Hanna Peter Stone OffRL 22 12 0 15 Aug 2020
Gradient Q $(σ, λ)$ : A Unified Algorithm with Function Approximation for Reinforcement Learning Long Yang Yu Zhang Qian Zheng Pengfei Li Gang Pan 20 1 0 06 Sep 2019
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network Wenjia Meng Qian Zheng L. Yang Pengfei Li Gang Pan 20 21 0 14 Jun 2018