Work

Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games

Year: 2020

Type: article

Source: IEEE Transactions on Neural Networks and Learning Systems

DOI: 10.1109/tnnls.2020.3041469

Authors: Yuanheng Zhu, Dongbin Zhao

Institutions: Chinese Academy of Sciences, Institute of Automation, University of Chinese Academy of Sciences

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Key Research and Development Program of China

Awards: G1594336315, G2968709009

OpenAlex ID: W3110979110

FWCI: 4.027

Cites: 41

Cited by: 92

Related to: 10