Work

On Efficient Multi-Agent Reinforcement Learning for Large Scale Supply Demand Matching

Year: 2024

Type: conference-paper

Source: International Conference on Industrial Artificial Intelligence (IAI)

DOI: 10.1109/iai63275.2024.10730200

Authors: Qing-Shan Jia, Ruicheng Jiang

Institution: Tsinghua University

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G2671578558, G3104620735

OpenAlex ID: W4403920098

FWCI: 0.294

Cites: 13

Cited by: 1

Related to: 10