Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning and Development

@article{Asada1999CooperativeBA,
  title={Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning and Development},
  author={Minoru Asada and Eiji Uchibe and Koh Hosoda},
  journal={Artif. Intell.},
  year={1999},
  volume={110},
  pages={275-292}
}
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multiagent learning. We then propose a vision-based reinforcement learning method that acquires cooperative behaviors in a dynamic environment. We use the robot soccer game initiated by RoboCup [6] to illustrate the effectiveness of our method. Each agent works with other team members to achieve a common goal against opponents. Our method estimates the relationships between… CONTINUE READING
Highly Cited
This paper has 120 citations. REVIEW CITATIONS

8 Figures & Tables

Topics

Statistics

051015'00'02'04'06'08'10'12'14'16'18
Citations per Year

121 Citations

Semantic Scholar estimates that this publication has 121 citations based on the available data.

See our FAQ for additional information.