Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning

Abhinav Bhatia, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein. Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning. In Akshat Kumar, Sylvie Thiébaux, Pradeep Varakantham, William Yeoh 0001, editors, Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, ICAPS 2022, Singapore (virtual), June 13-24, 2022. pages 556-564, AAAI Press, 2022. [doi]

@inproceedings{BhatiaSNZ22,
  title = {Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning},
  author = {Abhinav Bhatia and Justin Svegliato and Samer B. Nashed and Shlomo Zilberstein},
  year = {2022},
  url = {https://ojs.aaai.org/index.php/ICAPS/article/view/19842},
  researchr = {https://researchr.org/publication/BhatiaSNZ22},
  cites = {0},
  citedby = {0},
  pages = {556-564},
  booktitle = {Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, ICAPS 2022, Singapore (virtual), June 13-24, 2022},
  editor = {Akshat Kumar and Sylvie Thiébaux and Pradeep Varakantham and William Yeoh 0001},
  publisher = {AAAI Press},
  isbn = {978-1-57735-874-9},
}