Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi

[PDF] arxiv.org

A survey of progress on cooperative multi-agent reinforcement learning in open environment

L Yuan, Z Zhang, L Li, C Guan, Y Yu - arXiv preprint arXiv:2312.01058, 2023 - arxiv.org
Multi-agent Reinforcement Learning (MARL) has gained wide attention in recent years and
has made progress in various fields. Specifically, cooperative MARL focuses on training a …
被引用次数：16 相关文章 所有 2 个版本
[PDF] arxiv.org

Noisy Zero-Shot Coordination: Breaking The Common Knowledge Assumption In Zero-Shot Coordination Games

U Anwar, A Pandian, J Wan, D Krueger… - arXiv preprint arXiv …, 2024 - arxiv.org
Zero-shot coordination (ZSC) is a popular setting for studying the ability of reinforcement
learning (RL) agents to coordinate with novel partners. Prior ZSC formulations assume the …
相关文章 所有 2 个版本
[PDF] arxiv.org

Can Large Language Models Adapt to Other Agents In-Context?

M Riemer, Z Ashktorab, D Bouneffouf, P Das… - arXiv preprint arXiv …, 2024 - arxiv.org
As the research community aims to build better AI assistants that are more dynamic and
personalized to the diversity of humans that they interact with, there is increased interest in …
相关文章 所有 2 个版本