Publications

For news about publications, follow us on X:

Click on any author names or tags to filter publications.

All topic tags:
survey deep-rl multi-agent-rl agent-modelling ad-hoc-teamwork autonomous-driving goal-recognition explainable-ai causal generalisation security emergent-communication iterated-learning intrinsic-reward simulator state-estimation deep-learning transfer-learning

Selected tags (click to remove):
IROS simulator

2024

Aleksandar Krnjaic, Raul D. Steleac, Jonathan D. Thomas, Georgios Papoudakis, Lukas Schäfer, Andrew Wing Keung To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter Börsting, Stefano V. Albrecht
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Abstract | BibTex | arXiv | Website
IROS multi-agent-rl simulator

@inproceedings{krnjaic2024scalable,
   title={Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers},
   author={Aleksandar Krnjaic and Raul D. Steleac and Jonathan D. Thomas and Georgios Papoudakis and Lukas Sch\"afer and Andrew Wing Keung To and Kuan-Ho Lao and Murat Cubuktepe and Matthew Haley and Peter B\"orsting and Stefano V. Albrecht},
   booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems},
   year={2023}
}