A collaborative distributed multi-agent reinforcement learning technique for dynamic agent shortest path planning via selected sub-goals in complex cluttered environments

Dalila B. Megherbi, M. Kim. A collaborative distributed multi-agent reinforcement learning technique for dynamic agent shortest path planning via selected sub-goals in complex cluttered environments. In IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2015, Orlando, FL, USA, March 9-12, 2015. pages 118-124, IEEE, 2015. [doi]

@inproceedings{MegherbiK15,
  title = {A collaborative distributed multi-agent reinforcement learning technique for dynamic agent shortest path planning via selected sub-goals in complex cluttered environments},
  author = {Dalila B. Megherbi and M. Kim},
  year = {2015},
  doi = {10.1109/COGSIMA.2015.7108185},
  url = {https://doi.org/10.1109/COGSIMA.2015.7108185},
  researchr = {https://researchr.org/publication/MegherbiK15},
  cites = {0},
  citedby = {0},
  pages = {118-124},
  booktitle = {IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2015, Orlando, FL, USA, March 9-12, 2015},
  publisher = {IEEE},
}