Extracting Policies from Replays to Improve MCTS in Real Time Strategy Games

Zuozhi Yang, Santiago Ontañón. Extracting Policies from Replays to Improve MCTS in Real Time Strategy Games. In Matthew Guzdial, Joseph C. Osborn, Sam Snodgrass, editors, Proceedings of the 2nd Workshop on Knowledge Extraction from Games co-located with 33rd AAAI Conference on Artificial Intelligence, KEG@AAAI 2019, Honolulu, Hawaii, January 27th, 2019. Volume 2313 of CEUR Workshop Proceedings, pages 2-8, CEUR-WS.org, 2019. [doi]

@inproceedings{YangO19,
  title = {Extracting Policies from Replays to Improve MCTS in Real Time Strategy Games},
  author = {Zuozhi Yang and Santiago Ontañón},
  year = {2019},
  url = {http://ceur-ws.org/Vol-2313/KEG_2019_paper_3.pdf},
  researchr = {https://researchr.org/publication/YangO19},
  cites = {0},
  citedby = {0},
  pages = {2-8},
  booktitle = {Proceedings of the 2nd Workshop on Knowledge Extraction from Games co-located with 33rd AAAI Conference on Artificial Intelligence, KEG@AAAI 2019, Honolulu, Hawaii, January 27th, 2019},
  editor = {Matthew Guzdial and Joseph C. Osborn and Sam Snodgrass},
  volume = {2313},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}