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RPM Rational Process Models
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NBM Nonparametric Bayesian Models
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By Daw, N.
DMRL
Correa, C. G., Griffiths, T. L., & Daw, N. D. (2024). Program-Based Strategy Induction for Reinforcement Learning. 46th Annual Meeting of the Cognitive Science Society. (pdf)
DMRL
Correa, C. G., Sanborn, S., Ho, M. K., Callaway, F., Daw, N. D., & Griffiths, T. L. (2024). Exploring the hierarchical structure of human plans via program generation. Cognition, 255, 105990. (pdf)
RPM
DMRL
Correa, C. G., Ho, M. K., Callaway, F., Daw, N. D., Griffiths, T. L. (2023). Humans decompose tasks by trading off utility and computational cost. PLOS Computational Biology, 19(6), e1011087. (pdf)
DMRL
Kumar, S., Dasgupta, I., Daw, N. D., Cohen, J. D., Griffiths, T. L. (2023). Disentangling abstraction from statistical pattern matching in human and machine learning. PLoS Computational Biology 19(8). (pdf)
SML
DMRL
Kumar, S., Correa, C. G., Dasgupta, I., Marjieh, R., Hu, M. Y., Hawkins, R.D., Daw, N. D., Cohen, J. D., Narasimhan, K. R., & Griffiths, T. L. (2022). Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. Advances in Neural Information Processing Systems, 36. (preprint)
DMRL
Kumar, S., Dasgupta, I., Cohen, J. D., Daw, N. D., & Griffiths, T. L. (2021). Meta-learning of structured task distributions in humans and machines. Proceedings of the 9th International Conference on Learning Representations (ICLR). (pdf)

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