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Tom Silver
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Schema networks: Zero-shot transfer with a generative causal model of intuitive physics
K Kansky, T Silver, DA Mély, M Eldawy, M Lázaro-Gredilla, X Lou, ...
International conference on machine learning, 1809-1818, 2017
2172017
Integrated task and motion planning
CR Garrett, R Chitnis, R Holladay, B Kim, T Silver, LP Kaelbling, ...
Annual review of control, robotics, and autonomous systems 4, 265-293, 2021
1312021
Residual policy learning
T Silver, K Allen, J Tenenbaum, L Kaelbling
arXiv preprint arXiv:1812.06298, 2018
952018
Transforming clinical data into actionable prognosis models: machine-learning framework and field-deployable app to predict outcome of Ebola patients
A Colubri, T Silver, T Fradet, K Retzepi, B Fry, P Sabeti
PLoS neglected tropical diseases 10 (3), e0004549, 2016
582016
Online bayesian goal inference for boundedly rational planning agents
T Zhi-Xuan, J Mann, T Silver, J Tenenbaum, V Mansinghka
Advances in Neural Information Processing Systems 33, 19238-19250, 2020
352020
Planning with learned object importance in large problem instances using graph neural networks
T Silver, R Chitnis, A Curtis, JB Tenenbaum, T Lozano-Perez, ...
Proceedings of the AAAI conference on artificial intelligence 35 (13), 11962 …, 2021
342021
PDDLGym: Gym environments from PDDL problems
T Silver, R Chitnis
arXiv preprint arXiv:2002.06432, 2020
322020
Few-Shot Bayesian Imitation Learning with Logical Program Policies
T Silver, KR Allen, AK Lew, L Kaelbling, J Tenenbaum
Thirty-Fourth AAAI Conference on Artificial Intelligence, 0
22*
Learning sparse relational transition models
V Xia, W Zi, K Allen, T Silver, LP Kaelbling
International Conference on Learning Representations (ICLR), 2019
192019
Behavior is everything: Towards representing concepts with sensorimotor contingencies
N Hay, M Stark, A Schlegel, C Wendelken, D Park, E Purdy, T Silver, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
192018
Glib: Efficient exploration for relational model-based reinforcement learning via goal-literal babbling
R Chitnis, T Silver, JB Tenenbaum, LP Kaelbling, T Lozano-Pérez
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11782 …, 2021
17*2021
Learning symbolic operators for task and motion planning
T Silver, R Chitnis, J Tenenbaum, LP Kaelbling, T Lozano-Pérez
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
132021
Learning neuro-symbolic relational transition models for bilevel planning
R Chitnis, T Silver, JB Tenenbaum, T Lozano-Perez, LP Kaelbling
arXiv preprint arXiv:2105.14074, 2021
112021
CAMPS: Learning context-specific abstractions for efficient planning in factored MDPs
R Chitnis, T Silver, B Kim, LP Kaelbling, T Lozano-Perez
arXiv preprint arXiv:2007.13202, 2020
102020
Reinforcement learning for classical planning: Viewing heuristics as dense reward generators
C Gehring, M Asai, R Chitnis, T Silver, L Kaelbling, S Sohrabi, M Katz
Proceedings of the International Conference on Automated Planning and …, 2022
72022
Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning
T Silver, R Chitnis, N Kumar, W McClinton, T Lozano-Perez, LP Kaelbling, ...
arXiv preprint arXiv:2203.09634, 2022
72022
Discovering state and action abstractions for generalized task and motion planning
A Curtis, T Silver, JB Tenenbaum, T Lozano-Pérez, L Kaelbling
Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5377-5384, 2022
62022
Learning symbolic operators for task and motion planning. In 2021 IEEE
T Silver, R Chitnis, J Tenenbaum, LP Kaelbling, T Lozano-Pérez
RSJ International Conference on Intelligent Robots and Systems (IROS), 3182-3189, 0
6
Discovering a symbolic planning language from continuous experience.
J Loula, T Silver, KR Allen, J Tenenbaum
CogSci, 2193, 2019
32019
Learning constraint-based planning models from demonstrations
J Loula, K Allen, T Silver, J Tenenbaum
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
22020
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