Scalable Multi-agent Reinforcement Learning Architecture for Semi-MDP Real-Time Strategy Games

Zhentao Wang, Weiwei Wu 0001, Ziyao Huang. Scalable Multi-agent Reinforcement Learning Architecture for Semi-MDP Real-Time Strategy Games. In Haijun Zhang 0002, Zhao Zhang 0001, Zhou Wu 0001, Tianyong Hao, editors, Neural Computing for Advanced Applications - First International Conference, NCAA 2020, Shenzhen, China, July 3-5, 2020, Proceedings. Volume 1265 of Communications in Computer and Information Science, pages 433-446, Springer, 2020. [doi]

@inproceedings{Wang0H20-1,
  title = {Scalable Multi-agent Reinforcement Learning Architecture for Semi-MDP Real-Time Strategy Games},
  author = {Zhentao Wang and Weiwei Wu 0001 and Ziyao Huang},
  year = {2020},
  doi = {10.1007/978-981-15-7670-6_36},
  url = {https://doi.org/10.1007/978-981-15-7670-6_36},
  researchr = {https://researchr.org/publication/Wang0H20-1},
  cites = {0},
  citedby = {0},
  pages = {433-446},
  booktitle = {Neural Computing for Advanced Applications - First International Conference, NCAA 2020, Shenzhen, China, July 3-5, 2020, Proceedings},
  editor = {Haijun Zhang 0002 and Zhao Zhang 0001 and Zhou Wu 0001 and Tianyong Hao},
  volume = {1265},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-15-7670-6},
}