Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation

Léni K. Le Goff, Edgar Buchanan, Emma Hart, Ágoston E. Eiben, Wei Li 0055, Matteo De Carlo, Matthew F. Hale, Mike Angus, Robert Woolley, Jon Timmis, Alan F. T. Winfield, Andrew M. Tyrrell. Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation. In Josh C. Bongard, Juniper Lovato, Laurent Hébert-Dufresne, Radhakrishna Dasari, Lisa B. Soros, editors, 2020 Conference on Artificial Life, ALIFE 2020, online, July 13-18, 2020. pages 432-440, MIT Press, 2020. [doi]

@inproceedings{GoffBHE0CHAWTWT20,
  title = {Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation},
  author = {Léni K. Le Goff and Edgar Buchanan and Emma Hart and Ágoston E. Eiben and Wei Li 0055 and Matteo De Carlo and Matthew F. Hale and Mike Angus and Robert Woolley and Jon Timmis and Alan F. T. Winfield and Andrew M. Tyrrell},
  year = {2020},
  doi = {10.1162/isal_a_00299},
  url = {https://doi.org/10.1162/isal_a_00299},
  researchr = {https://researchr.org/publication/GoffBHE0CHAWTWT20},
  cites = {0},
  citedby = {0},
  pages = {432-440},
  booktitle = {2020 Conference on Artificial Life, ALIFE 2020, online, July 13-18, 2020},
  editor = {Josh C. Bongard and Juniper Lovato and Laurent Hébert-Dufresne and Radhakrishna Dasari and Lisa B. Soros},
  publisher = {MIT Press},
}