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By Reichman, D
RPM
DRLM
Reichman, D., Lieder, F., Bourgin, D. D., Talmon, N., & Griffiths, T. L. (preprint). Goal pursuit for computationally bounded agents: The network structure of goal systems predicts human performance.
F
Alon, N., Cohen, J. D., Griffiths, T. L., Manurangsi, P., Reichman, D., Shinkar, I., Wagner, T., Yu, A. (in press). Multitasking capacity: Hardness results and improved constructions. SIAM Journal on Discrete Mathematics. (pdf)
DRLM
Bourgin, D., Peterson, J., Reichman, D., Russell, S., & Griffiths, T. L. (2019). Cognitive model priors for predicting human decisions. Proceedings of the 36th International Conference on Machine Learning (ICML). (pdf)
F
Alon, N., Reichman, D., Shinkar, I., Wagner, T., Musslick, S., Cohen, J. D., Griffiths, T. L., Dey, B., & Ozcimder, K. (2017). A graph-theoretic approach to multitasking. Advances in Neural Information Processing Systems, 2100-2109. (pdf)
RPM
Bourgin, D. D., Lieder, F., Reichman, D., Talmon, N., & Griffiths, T. L. (2017). The structure of goal systems predicts human performance. Proceedings of the 39th Annual Conference of the Cognitive Science Society. (pdf)

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