Making friends on the fly: Cooperating with new teammates

@article{Barrett2017MakingFO,
  title={Making friends on the fly: Cooperating with new teammates},
  author={Samuel Barrett and Avi Rosenfeld and Sarit Kraus and Peter Stone},
  journal={Artif. Intell.},
  year={2017},
  volume={242},
  pages={132-171}
}
Robots are being deployed in an increasing variety of environments for longer periods of time. As the number of robots grows, they will increasingly need to interact with other robots. Additionally, the number of companies and research laboratories producing these robots is increasing, leading to the situation where these robots may not share a common communication or coordination protocol. While standards for coordination and communication may be created, we expect that robots will need to… CONTINUE READING
Related Discussions
This paper has been referenced on Twitter 2 times. VIEW TWEETS

References

Publications referenced by this paper.
Showing 1-10 of 55 references

Bandit Based Monte-Carlo Planning

View 20 Excerpts
Highly Influenced

Agent2d base code release. Http://sourceforge.jp/projects/rctools

H. Akiyama
2010
View 4 Excerpts
Highly Influenced

A framework for sequential planning in multi-agent settings

P. J. Gmytrasiewicz, P. Doshi, Jul
Journal of Artificial Intelligence Research (JAIR) • 2005
View 6 Excerpts
Highly Influenced

Tree-Based Batch Mode Reinforcement Learning

Journal of Machine Learning Research • 2005
View 13 Excerpts
Highly Influenced

Towards Flexible Teamwork

J. Artif. Intell. Res. • 1997
View 4 Excerpts
Highly Influenced

Algorithmic Game Theory

A. Blum, Y. Mansour
2007
View 3 Excerpts
Highly Influenced

Reinforcement Learning: An Introduction

IEEE Transactions on Neural Networks • 1998
View 3 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…