Author:
Gallotta Roberto,Capobianco Roberto
Publisher
Springer International Publishing
Reference21 articles.
1. Baxter, J., Tridgell, A., Weaver, L.: Reinforcement learning and chess, pp. 91–116, January 2001
2. Brant, J.C., Stanley, K.O.: Minimal criterion coevolution: a new approach to open-ended search. In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2017, pp. 67–74. Association for Computing Machinery, New York (2017). https://doi.org/10.1145/3071178.3071186
3. Clune, J., Stanley, K.O., Pennock, R.T., Ofria, C.: On the performance of indirect encoding across the continuum of regularity. IEEE Trans. Evol. Comput. 15(3), 346–367 (2011). https://doi.org/10.1109/TEVC.2010.2104157
4. Floreano, D., Dürr, P., Mattiussi, C.: Neuroevolution: from architectures to learning. Evol. Intell. 1(1), 47–62 (2008). https://doi.org/10.1007/s12065-007-0002-4
5. Gallotta, R.: OpenAI gym environment based on the Tafl board games for reinforcement learning (2021). https://github.com/gallorob/tafl-gym