A Competitive Strategy for Function Approximation in Q-Learning

IJCAI 2011 pp. 1146-1151

doi:10.5591/978-1-57735-516-8/IJCAI11-196 /ijcai/2011/agostini2011ijcai-competitive/

Cite

Text

Agostini and Celaya. "A Competitive Strategy for Function Approximation in Q-Learning." International Joint Conference on Artificial Intelligence, 2011. doi:10.5591/978-1-57735-516-8/IJCAI11-196

Markdown

[Agostini and Celaya. "A Competitive Strategy for Function Approximation in Q-Learning." International Joint Conference on Artificial Intelligence, 2011.](https://mlanthology.org/ijcai/2011/agostini2011ijcai-competitive/) doi:10.5591/978-1-57735-516-8/IJCAI11-196

BibTeX

@inproceedings{agostini2011ijcai-competitive,
  title     = {{A Competitive Strategy for Function Approximation in Q-Learning}},
  author    = {Agostini, Alejandro and Celaya, Enric},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {1146-1151},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-196},
  url       = {https://mlanthology.org/ijcai/2011/agostini2011ijcai-competitive/}
}