Publications
View By Topic:
All Topics
CI Causal Induction CD Cognitive Development CEIL Cultural Evolution and Iterated Learning DMRL Decision Making and Reinforcement Learning E Education F Foundations IB Inductive Biases NBM Nonparametric Bayesian Models P Perception PR Probabilistic Reasoning RPM Rational Process Models S&C Similarity and Categorization SC Social Cognition SML Statistical Models of Language
(Click on an author's name to view all papers by that author.)
Filter publications
By Daw, N. | DMRL IB
| Correa, C. G., Sanborn, S., Ho, M. K., Callaway, F., Daw, N. D., & Griffiths, T. L. (2025). Exploring the hierarchical structure of human plans via program generation. Cognition, 255, 105990. (pdf)
| 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 RPM
| 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)
| IB SML
| 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)
|
|