ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.16708
  4. Cited By
A Hierarchical Approach to Population Training for Human-AI
  Collaboration

A Hierarchical Approach to Population Training for Human-AI Collaboration

International Joint Conference on Artificial Intelligence (IJCAI), 2023
26 May 2023
Yi Loo
Chen Gong
Malika Meghjani
ArXiv (abs)PDFHTMLGithub (953★)

Papers citing "A Hierarchical Approach to Population Training for Human-AI Collaboration"

4 / 4 papers shown
Efficient Generation of Diverse Cooperative Agents with World Models
Efficient Generation of Diverse Cooperative Agents with World Models
Yi Loo
Akshunn Trivedi
Malika Meghjani
144
1
0
09 Jun 2025
Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions
Implicitly Aligning Humans and Autonomous Agents through Shared Task AbstractionsInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Stéphane Aroca-Ouellette
Miguel Aroca-Ouellette
Katharina von der Wense
Alessandro Roncone
283
1
0
07 May 2025
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
Heterogeneous Multi-agent Zero-Shot Coordination by CoevolutionIEEE Transactions on Evolutionary Computation (TEVC), 2022
Ke Xue
Yutong Wang
Cong Guan
Lei Yuan
Haobo Fu
Qiang Fu
Chao Qian
Yang Yu
665
25
0
03 Jan 2025
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot
  Coordination
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot CoordinationNeural Information Processing Systems (NeurIPS), 2023
Xihuai Wang
Shao Zhang
Wenhao Zhang
Wentao Dong
Jingxiao Chen
Ying Wen
Weinan Zhang
343
24
0
08 Oct 2023
1
Page 1 of 1