Work

Assessment of Multi-Agent Reinforcement Learning Strategies for Multi-Agent Negotiation

Year: 2024

Type: conference-paper

Source: International Conference on Control, Automation, Robotics and Vision (ICARCV)

DOI: 10.1109/icarcv63323.2024.10821634

Authors: Hongyi Li, Ruihang Ji, Shuzhi Sam Ge

Institution: National University of Singapore

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Agency for Science, Technology and Research, National Research Foundation Singapore

Awards: G4790266170, G798675537

OpenAlex ID: W4406208044

FWCI: 0.589

Cites: 20

Cited by: 2

Related to: 10