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Scalable_MAOD_via_KP/README.md

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Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs

Please cite this paper:

@inproceedings{DBLP:conf/nips/ChenCLA22,
  author       = {Jiayu Chen and
                  Jingdi Chen and
                  Tian Lan and
                  Vaneet Aggarwal},
  title        = {Scalable Multi-agent Covering Option Discovery based on Kronecker
                  Graphs},
  booktitle    = {NeurIPS},
  year         = {2022},
  url          = {http://papers.nips.cc/paper\_files/paper/2022/hash/c40d1e40dd121d0e7ba8e4ab65bca81b-Abstract-Conference.html},
  timestamp    = {Thu, 11 May 2023 17:08:21 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/ChenCLA22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Please refer to the 'readme' file in each folder for further details:

Folder "continuous": codes for continuous control tasks built with Mujoco

Folder "tabular": codes for the discrete Grid World tasks

Folder "others": codes for applying SOTA MARL on the 4-agent Grid Maze task and the performance change with the frequency of collisions (Figure 8(c))