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Tom Silver
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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
3892021
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
2712017
Residual policy learning
T Silver, K Allen, J Tenenbaum, L Kaelbling
arXiv preprint arXiv:1812.06298, 2018
1622018
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
832020
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
742016
Planning with learned object importance in large problem instances using graph neural networks
T Silver, R Chitnis, A Curtis, JB Tenenbaum, T Lozano-Pérez, ...
Proceedings of the AAAI conference on artificial intelligence 35 (13), 11962 …, 2021
702021
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
652021
PDDLGym: Gym environments from PDDL problems
T Silver, R Chitnis
arXiv preprint arXiv:2002.06432, 2020
592020
Learning neuro-symbolic skills for bilevel planning
T Silver, A Athalye, JB Tenenbaum, T Lozano-Pérez, LP Kaelbling
arXiv preprint arXiv:2206.10680, 2022
482022
PDDL planning with pretrained large language models
T Silver, V Hariprasad, RS Shuttleworth, N Kumar, T Lozano-Pérez, ...
NeurIPS 2022 foundation models for decision making workshop, 2022
442022
Predicate invention for bilevel planning
T Silver, R Chitnis, N Kumar, W McClinton, T Lozano-Pérez, L Kaelbling, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12120 …, 2023
38*2023
Learning neuro-symbolic relational transition models for bilevel planning
R Chitnis, T Silver, JB Tenenbaum, T Lozano-Perez, LP Kaelbling
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
382022
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
35*
Generalized planning in pddl domains with pretrained large language models
T Silver, S Dan, K Srinivas, JB Tenenbaum, L Kaelbling, M Katz
Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20256 …, 2024
322024
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
32*2021
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
312022
Learning sparse relational transition models
V Xia, W Zi, K Allen, T Silver, LP Kaelbling
International Conference on Learning Representations (ICLR), 2019
282019
Camps: Learning context-specific abstractions for efficient planning in factored mdps
R Chitnis, T Silver, B Kim, L Kaelbling, T Lozano-Perez
Conference on robot learning, 64-79, 2021
272021
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
242018
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
232022
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