AI Game Agents Based on Evolutionary Search and (Deep) Reinforcement Learning: A Practical Analysis with Flappy Bird

Leonardo Thurler, José Montes, Rodrigo Veloso, Aline Paes, Esteban Clua. AI Game Agents Based on Evolutionary Search and (Deep) Reinforcement Learning: A Practical Analysis with Flappy Bird. In Jannicke Baalsrud Hauge, Jorge C. S. Cardoso, Licínio Roque, Pedro A. González-Calero, editors, Entertainment Computing - ICEC 2021 - 20th IFIP TC 14 International Conference, ICEC 2021, Coimbra, Portugal, November 2-5, 2021, Proceedings. Volume 13056 of Lecture Notes in Computer Science, pages 196-208, Springer, 2021. [doi]

@inproceedings{ThurlerMVPC21,
  title = {AI Game Agents Based on Evolutionary Search and (Deep) Reinforcement Learning: A Practical Analysis with Flappy Bird},
  author = {Leonardo Thurler and José Montes and Rodrigo Veloso and Aline Paes and Esteban Clua},
  year = {2021},
  doi = {10.1007/978-3-030-89394-1_15},
  url = {https://doi.org/10.1007/978-3-030-89394-1_15},
  researchr = {https://researchr.org/publication/ThurlerMVPC21},
  cites = {0},
  citedby = {0},
  pages = {196-208},
  booktitle = {Entertainment Computing - ICEC 2021 - 20th IFIP TC 14 International Conference, ICEC 2021, Coimbra, Portugal, November 2-5, 2021, Proceedings},
  editor = {Jannicke Baalsrud Hauge and Jorge C. S. Cardoso and Licínio Roque and Pedro A. González-Calero},
  volume = {13056},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-89394-1},
}