Summary of Towards Effective and Interpretable Human-agent Collaboration in Moba Games: a Communication Perspective, by Yiming Gao et al.
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
by Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, Jiawei Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
First submitted to arxiv on: 23 Apr 2023
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes a framework for enabling humans and AI agents to collaborate in MOBA games, such as Dota2 and Honor of Kings. The authors design an efficient and interpretable Meta-Command Communication-based (MCC) framework that consists of two modules: an interpretable communication protocol called the Meta-Command, and a meta-command value estimator called the Meta-Command Selector. Experimental results show that MCC agents can collaborate effectively with human teammates in Honor of Kings and generalize to work with different numbers and levels of human teammates. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about making AI systems work together with people playing games like Dota2 and Honor of Kings. Instead of just competing against humans, the AI tries to help humans win by communicating with them clearly. The researchers created a special way for the AI to talk to humans, called Meta-Command Communication (MCC), which helps humans and AI agents work together well. |
