Approximating gradients for differentiable quality diversity in reinforcement learning

Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, Stefanos Nikolaidis. Approximating gradients for differentiable quality diversity in reinforcement learning. In Jonathan E. Fieldsend, Markus Wagner 0007, editors, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022. pages 1102-1111, ACM, 2022. [doi]

@inproceedings{TjanakaFTN22,
  title = {Approximating gradients for differentiable quality diversity in reinforcement learning},
  author = {Bryon Tjanaka and Matthew C. Fontaine and Julian Togelius and Stefanos Nikolaidis},
  year = {2022},
  doi = {10.1145/3512290.3528705},
  url = {https://doi.org/10.1145/3512290.3528705},
  researchr = {https://researchr.org/publication/TjanakaFTN22},
  cites = {0},
  citedby = {0},
  pages = {1102-1111},
  booktitle = {GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9 - 13, 2022},
  editor = {Jonathan E. Fieldsend and Markus Wagner 0007},
  publisher = {ACM},
  isbn = {978-1-4503-9237-2},
}