Work

Learning Individual Potential-Based Rewards in Multiagent Reinforcement Learning

Year: 2024

Type: article

Source: IEEE Transactions on Games

DOI: 10.1109/tg.2024.3450475

Authors: Chen Yang, Pei Xu, Junge Zhang

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: Youth Innovation Promotion Association of the Chinese Academy of Sciences

OpenAlex ID: W4401990275

FWCI: 0.444

Cites: 28

Cited by: 3

Related to: 10