DOP: Deep Optimistic Planning with Approximate Value Function Evaluation

Francesco Riccio, Roberto Capobianco, Daniele Nardi. DOP: Deep Optimistic Planning with Approximate Value Function Evaluation. In Elisabeth André, Sven Koenig, Mehdi Dastani, Gita Sukthankar, editors, Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2018, Stockholm, Sweden, July 10-15, 2018. pages 2210-2212, International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, 2018. [doi]

@inproceedings{RiccioCN18,
  title = {DOP: Deep Optimistic Planning with Approximate Value Function Evaluation},
  author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
  year = {2018},
  url = {http://dl.acm.org/citation.cfm?id=3238123},
  researchr = {https://researchr.org/publication/RiccioCN18},
  cites = {0},
  citedby = {0},
  pages = {2210-2212},
  booktitle = {Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2018, Stockholm, Sweden, July 10-15, 2018},
  editor = {Elisabeth André and Sven Koenig and Mehdi Dastani and Gita Sukthankar},
  publisher = {International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM},
}