Author:
Hamano Ryoki,Shirakawa Shinichi,Nomura Masahiro
Publisher
Springer Nature Switzerland
Reference23 articles.
1. Abdolmaleki, A., Price, B., Lau, N., Reis, L.P., Neumann, G.: Deriving and improving CMA-ES with information geometric trust regions. In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2017, pp. 657-664. Association for Computing Machinery, New York (2017). https://doi.org/10.1145/3071178.3071252
2. Abdolmaleki, A., Springenberg, J.T., Tassa, Y., Munos, R., Heess, N., Riedmiller, M.: Maximum a posteriori policy optimisation. In: International Conference on Learning Representations (2018)
3. Akimoto, Y., Nagata, Y., Ono, I., Kobayashi, S.: Bidirectional relation between CMA evolution strategies and natural evolution strategies. In: Parallel Problem Solving from Nature, PPSN XI, pp. 154–163 (2010)
4. Amari, S.I., Nagaoka, H.: Methods of Information Geometry, vol. 191 (2000)
5. Auger, A., Hansen, N.: A restart CMA evolution strategy with increasing population size. In: 2005 IEEE Congress on Evolutionary Computation, vol. 2, pp. 1769–1776. IEEE (2005)