ICRA2018 - Intent-aware Multi-agent Reinforcement Learning

Files in the repository:

• vrep: V-REP models and scenes implemented for the experiments.
• lua: embedding scripts for the V-REP models and scenes for simulation engine.
• python: client-side scripts for agent executions. The actions are published as ROS messages to V-REP.

Useful links:

• YOLO object detection as a ROS package: https://github.com/SiyuanQi/yolo_object_detection
• V-REP: http://www.coppeliarobotics.com/

If you find this code useful, please cite our work with the following bibtex:

@inproceedings{qi2018intent,
    title={Intent-aware Multi-agent Reinforcement Learning},
    author={Qi, Siyuan and Zhu, Song-Chun},
    booktitle={International Conference on Robotics and Automation (ICRA)},
    year={2018}
}