Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Learning Technique for Multi-robot Systems

Toshiyuki Yasuda, Kazuhiro Ohkura. Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Learning Technique for Multi-robot Systems. In Fernando Almeida e Costa, Luis Mateus Rocha, Ernesto Costa, Inman Harvey, António Coutinho, editors, Advances in Artificial Life, 9th European Conference, ECAL 2007, Lisbon, Portugal, September 10-14, 2007, Proceedings. Volume 4648 of Lecture Notes in Computer Science, pages 325-334, Springer, 2007. [doi]

@inproceedings{YasudaO07,
  title = {Improving Search Efficiency in the Action Space of an Instance-Based Reinforcement Learning Technique for Multi-robot Systems},
  author = {Toshiyuki Yasuda and Kazuhiro Ohkura},
  year = {2007},
  doi = {10.1007/978-3-540-74913-4_33},
  url = {http://dx.doi.org/10.1007/978-3-540-74913-4_33},
  tags = {rule-based, search},
  researchr = {https://researchr.org/publication/YasudaO07},
  cites = {0},
  citedby = {0},
  pages = {325-334},
  booktitle = {Advances in Artificial Life, 9th European Conference, ECAL 2007, Lisbon, Portugal, September 10-14, 2007, Proceedings},
  editor = {Fernando Almeida e Costa and Luis Mateus Rocha and Ernesto Costa and Inman Harvey and António Coutinho},
  volume = {4648},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-74912-7},
}