Tom Silver

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 39

Top Topics

Motion Planning

Predicate Invention

Reinforcement Learning

Top Venues

Publications

Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Efficient Abstract Planning Models that Choose What to Predict. CoRL (2023)
Amber Li, Tom Silver
Embodied Active Learning of Relational State Abstractions for Bilevel Planning. CoRR (2023)
Amber Li, Tom Silver
Embodied Active Learning of Relational State Abstractions for Bilevel Planning. CoLLAs (2023)
Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz
Generalized Planning in PDDL Domains with Pretrained Large Language Models. CoRR (2023)
Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
Predicate Invention for Bilevel Planning. AAAI (2023)
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. IROS (2022)
Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. ICAPS (2022)
Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Discovering State and Action Abstractions for Generalized Task and Motion Planning. AAAI (2022)
Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning. CoRR (2022)
Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Neuro-Symbolic Skills for Bilevel Planning. CoRL (2022)
Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling
PG3: Policy-Guided Planning for Generalized Policy Generation. CoRR (2022)
Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains. CoRR (2022)
Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Neuro-Symbolic Skills for Bilevel Planning. CoRR (2022)
Ryan Yang, Tom Silver, Aidan Curtis, Tomás Lozano-Pérez, Leslie Pack Kaelbling
PG3: Policy-Guided Planning for Generalized Policy Generation. IJCAI (2022)
Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning Symbolic Operators for Task and Motion Planning. CoRR (2021)
Caelan Reed Garrett, Rohan Chitnis, Rachel M. Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Integrated Task and Motion Planning. Annu. Rev. Control. Robotics Auton. Syst. 4 (2021)
Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz
Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. CoRR (2021)
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. CoRR (2021)
Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Discovering State and Action Abstractions for Generalized Task and Motion Planning. CoRR (2021)
Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning Symbolic Operators for Task and Motion Planning. IROS (2021)
Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. AAAI (2021)
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. AAAI (2021)
Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Josh Tenenbaum, Vikash Mansinghka
Online Bayesian Goal Inference for Boundedly Rational Planning Agents. NeurIPS (2020)
Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Joshua B. Tenenbaum, Vikash K. Mansinghka
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents. CoRR (2020)
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez
GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning. CoRR (2020)
Tom Silver, Rohan Chitnis
PDDLGym: Gym Environments from PDDL Problems. CoRR (2020)
Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. CoRR (2020)
Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
Few-Shot Bayesian Imitation Learning with Logical Program Policies. AAAI (2020)
João Loula, Kelsey R. Allen, Tom Silver, Josh Tenenbaum
Learning constraint-based planning models from demonstrations. IROS (2020)
Caelan Reed Garrett, Rohan Chitnis, Rachel Holladay, Beomjoon Kim, Tom Silver, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Integrated Task and Motion Planning. CoRR (2020)
Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. CoRL (2020)
Rohan Chitnis, Tom Silver, Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. CoRR (2020)
João Loula, Tom Silver, Kelsey R. Allen, Josh Tenenbaum
Discovering a symbolic planning language from continuous experience. CogSci (2019)
Victoria Xia, Zi Wang, Kelsey R. Allen, Tom Silver, Leslie Pack Kaelbling
Learning sparse relational transition models. ICLR (Poster) (2019)
Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
Few-Shot Bayesian Imitation Learning with Logic over Programs. CoRR (2019)
Nicholas Hay, Michael Stark, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George
Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies. AAAI (2018)
Tom Silver, Kelsey R. Allen, Josh Tenenbaum, Leslie Pack Kaelbling
Residual Policy Learning. CoRR (2018)
Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, D. Scott Phoenix, Dileep George
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics. ICML (2017)
Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, D. Scott Phoenix, Dileep George
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics. CoRR (2017)