APA   Click to copy
Bera, K., Fengler, A., & Frank, M. J. (2022). Likelihood Approximation Networks enable fast estimation of generalized sequential sampling models as the choice rule in RL. In 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (pp. 91–96). RLDM.

Chicago/Turabian   Click to copy
Bera, Krishn, Alexander Fengler, and Michael J. Frank. “Likelihood Approximation Networks Enable Fast Estimation of Generalized Sequential Sampling Models as the Choice Rule in RL.” In 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making, 91–96. RLDM, 2022.

MLA   Click to copy
Bera, Krishn, et al. “Likelihood Approximation Networks Enable Fast Estimation of Generalized Sequential Sampling Models as the Choice Rule in RL.” 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making, RLDM, 2022, pp. 91–96.

@inproceedings{krishn2022a,
  title = {Likelihood Approximation Networks enable fast estimation of generalized sequential sampling models as the choice rule in RL},
  year = {2022},
  pages = {91-96},
  publisher = {RLDM},
  author = {Bera, Krishn and Fengler, Alexander and Frank, Michael J.},
  booktitle = {5th Multidisciplinary Conference on Reinforcement Learning and Decision Making}
}