Work

Applying opponent and environment modelling in decentralised multi-agent reinforcement learning

Year: 2024

Type: article

Source: Cognitive Systems Research

DOI: 10.1016/j.cogsys.2024.101306

Authors: Alexander Chernyavskiy, Alexey Skrynnik, Aleksandr Panov

Institutions: Moscow Institute of Physics and Technology, AIRI - Artificial Intelligence Research Institute, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Russian Science Foundation

Award: G1726188934

OpenAlex ID: W4404905586

FWCI: 0.738

Cites: 53

Cited by: 5

Related to: 10