Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward

Jan Kretínský, Fabian Michel, Lukas Michel, Guillermo A. Pérez. Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward. In Ryan P. Adams, Vibhav Gogate, editors, Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, UAI 2020, virtual online, August 3-6, 2020. pages 480, AUAI Press, 2020. [doi]

@inproceedings{KretinskyMMP20,
  title = {Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward},
  author = {Jan Kretínský and Fabian Michel and Lukas Michel and Guillermo A. Pérez},
  year = {2020},
  url = {http://www.auai.org/uai2020/proceedings/480_main_paper.pdf},
  researchr = {https://researchr.org/publication/KretinskyMMP20},
  cites = {0},
  citedby = {0},
  pages = {480},
  booktitle = {Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, UAI 2020, virtual online, August 3-6, 2020},
  editor = {Ryan P. Adams and Vibhav Gogate},
  publisher = {AUAI Press},
}