Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning

Raphael C. Engelhardt, Ralitsa Raycheva, Moritz Lange, Laurenz Wiskott, Wolfgang Konen. Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning. In Giuseppe Nicosia, Varun Ojha 0001, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton, editors, Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II. Volume 14506 of Lecture Notes in Computer Science, pages 109-123, Springer, 2023. [doi]

@inproceedings{EngelhardtRLWK23,
  title = {Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning},
  author = {Raphael C. Engelhardt and Ralitsa Raycheva and Moritz Lange and Laurenz Wiskott and Wolfgang Konen},
  year = {2023},
  doi = {10.1007/978-3-031-53966-4_9},
  url = {https://doi.org/10.1007/978-3-031-53966-4_9},
  researchr = {https://researchr.org/publication/EngelhardtRLWK23},
  cites = {0},
  citedby = {0},
  pages = {109-123},
  booktitle = {Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II},
  editor = {Giuseppe Nicosia and Varun Ojha 0001 and Emanuele La Malfa and Gabriele La Malfa and Panos M. Pardalos and Renato Umeton},
  volume = {14506},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-53966-4},
}