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Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning. Proceedings of the National Academy of Sciences 201912341 (2020). doi:10.1073/pnas.1912341117
1912341117.full_.pdf (2.15 MB)
1912341117.full_.pdf (2.15 MB) Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) (2019). at <http: //physadept.csail.mit.edu/> ADEPT_NeurIPS.pdf (11.07 MB)
ADEPT_NeurIPS.pdf (11.07 MB) Differentiable physics and stable modes for tool-use and manipulation planning. Robotics: Science and Systems 2018 (2018). ToussaintEtAl_DiffPhysStable.pdf (1.97 MB)
ToussaintEtAl_DiffPhysStable.pdf (1.97 MB) End-to-end differentiable physics for learning and control. Advances in Neural Information Processing Systems 31 (NIPS 2018) (2018). 7948-end-to-end-differentiable-physics-for-learning-and-control.pdf (794.17 KB)
7948-end-to-end-differentiable-physics-for-learning-and-control.pdf (794.17 KB) Faulty Towers: A counterfactual simulation model of physical support. Proceedings of the 39th Annual Conference of the Cognitive Science Society (2017). Faulty Towers A counterfactual simulation model of physical support, Gerstenberg et al., 2017.pdf (8.75 MB)
Faulty Towers A counterfactual simulation model of physical support, Gerstenberg et al., 2017.pdf (8.75 MB) Rapid Physical Predictions from Convolutional Neural Networks. Neural Information Processing Systems, Intuitive Physics Workshop (2016). at <http://phys.csail.mit.edu/papers/9.pdf> Rapid Physical Predictions - NIPS Physics Workshop Poster (1.47 MB)
Rapid Physical Predictions - NIPS Physics Workshop Poster (1.47 MB) Abstracts of the 2014 Brains, Minds, and Machines Summer Course. (2014). CBMM-Memo-024.pdf (2.86 MB)
CBMM-Memo-024.pdf (2.86 MB)