Publications

W. Bounsi, B. Ibarz, A. Dudzik, J. Hamrick, L. Markeeva, A. Vitvitskyi, R. Pascanu, P. Veličković (2024). Transformers meet Neural Algorithmic Reasoners. CVPR 2024 Multimodal Algorithmic Reasoning (MAR) Workshop.
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K. Smith, J. Hamrick, A. Sanborn, P. Battaglia, T. Gerstenberg, T. Ullman, J. Tenenbaum (2024). Intuitive physics as probabilistic inference. Bayesian models of cognition: reverse engineering the mind.
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S. Madjiheurem, K. Stachenfeld, P. B. Battaglia, J. B. Hamrick (2023). Beyond Temporal Credit Assignment in Reinforcement Learning. Proceedings of the Workshop on Reincarnating Reinforcement Learning at ICLR 2023.
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J. Walker, E. Vértes, Y. Li, G. Dulac-Arnold, A. Anand, T. Weber, J. Hamrick (2023). Investigating the role of model-based learning in exploration and transfer. Proceedings of the International Conference on Machine Learning (ICML 2023).
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A. Anand, J. Walker, Y. Li, E. Vértes, J. Schrittwieser, S. Ozair, T. Weber, J. Hamrick (2022). Procedural generalization by planning with self-supervised world models. Proceedings of the International Conference on Learning Representations (ICLR 2022).
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E. Kosoy, A. Liu, J. Collins, D. Chan, J. Hamrick, N. Ke, S. Huang, B. Kaufmann, J. Canny, A. Gopnik (2022). Learning causal overhypotheses through exploration in children and computational models. Proceedings of the Conference on Causal Learning and Reasoning.
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K. Allen, T. Lopez-Guevara, K. Stachenfeld, A. Sanchez-Gonzalez, P. Battaglia, J. Hamrick, T. Pfaff (2022). Inverse design for fluid-structure interactions using graph network simulators. Proceedings of the Conference on Neural Information Processing Systems (NeurIPS 2022).
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J. B. Hamrick, A. L. Friesen, F. Behbahani, A. Guez, F. Viola, S. Witherspoon, T. Anthony, L. Buesing, P. Veličković, T. Weber (2021). On the role of planning in model-based deep reinforcement learning. Proceedings of the International Conference on Learning Representations (ICLR 2021).
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J. B. Hamrick, S. Mohamed (2020). Levels of Analysis for Machine Learning. Proceedings of the ICLR 2020 Workshop on Bridging AI and Cognitive Science.
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E. Kosoy, J. Collins, D. M. Chan, J. B. Hamrick, S. Huang, A. Gopnik, J. Canny (2020). Exploring Exploration: Comparing Children with RL Agents in Unified Environments. Proceedings of the ICLR 2020 Workshop on Bridging AI and Cognitive Science.
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