Quantifying the effects of environment and population diversity in multi-agent reinforcement learning

16 February 2021

Papers citing "Quantifying the effects of environment and population diversity in multi-agent reinforcement learning"

9 / 9 papers shown

Title
Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions Stéphane Aroca-Ouellette Miguel Aroca-Ouellette K. Wense A. Roncone 39 0 0 07 May 2025
Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination Kunal Jha Wilka Carvalho Yancheng Liang S. Du Max Kleiman-Weiner Natasha Jaques 27 0 0 17 Apr 2025
A social path to human-like artificial intelligence Edgar A. Duénez-Guzmán Suzanne Sadedin Jane X. Wang Kevin R. McKee Joel Z Leibo GNN 31 28 0 22 May 2024
Symmetry-Breaking Augmentations for Ad Hoc Teamwork Ravi Hammond Dustin Craggs Mingyu Guo Jakob Foerster Ian Reid 29 1 0 15 Feb 2024
A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions Hung Du Srikanth Thudumu Rajesh Vasa K. Mouzakis LLMAG 49 8 0 03 Feb 2024
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang Shao Zhang Wenhao Zhang Wentao Dong Jingxiao Chen Ying Wen Weinan Zhang 28 8 0 08 Oct 2023
Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas Udari Madhushani Kevin R. McKee J. Agapiou Joel Z Leibo Richard Everett Thomas W. Anthony Edward Hughes K. Tuyls Edgar A. Duénez-Guzmán 36 2 0 01 May 2023
Warmth and competence in human-agent cooperation Kevin R. McKee Xuechunzi Bai S. Fiske 32 26 0 31 Jan 2022
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 136 218 0 06 Mar 2020