Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics. - Ken Kansky; Tom Silver; David A. Mély; Mohamed Eldawy; Miguel Lázaro-Gredilla; Xinghua Lou; Nimrod Dorfman; Szymon Sidor; D. Scott Phoenix; Dileep George (ICML, 2017)

Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies. - Nicholas Hay; Michael Stark 003; Alexander Schlegel; Carter Wendelken; Dennis Park; Eric Purdy; Tom Silver; D. Scott Phoenix; Dileep George (AAAI, 2018)

Residual Policy Learning. - Tom Silver; Kelsey R. Allen; Josh Tenenbaum 001; Leslie Pack Kaelbling (CoRR, 2018)

Discovering a symbolic planning language from continuous experience. - João Loula; Tom Silver; Kelsey R. Allen; Josh Tenenbaum 001 (CogSci, 2019)

Learning sparse relational transition models. - Victoria Xia; Zi Wang 004; Kelsey R. Allen; Tom Silver; Leslie Pack Kaelbling (ICLR (Poster), 2019)

Few-Shot Bayesian Imitation Learning with Logic over Programs. - Tom Silver; Kelsey R. Allen; Alex K. Lew; Leslie Pack Kaelbling; Josh Tenenbaum 001 (CoRR, 2019)

Few-Shot Bayesian Imitation Learning with Logical Program Policies. - Tom Silver; Kelsey R. Allen; Alex K. Lew; Leslie Pack Kaelbling; Josh Tenenbaum 001 (AAAI, 2020)

CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs. - Rohan Chitnis; Tom Silver; Beomjoon Kim; Leslie Pack Kaelbling; Tomás Lozano-Pérez (CoRL, 2020)

Learning constraint-based planning models from demonstrations. - João Loula; Kelsey R. Allen; Tom Silver; Josh Tenenbaum 001 (IROS, 2020)

Online Bayesian Goal Inference for Boundedly Rational Planning Agents. - Tan Zhi-Xuan; Jordyn L. Mann; Tom Silver; Josh Tenenbaum 001; Vikash Mansinghka 001 (NeurIPS, 2020)

GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning. - Rohan Chitnis; Tom Silver; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Tomás Lozano-Pérez (CoRR, 2020)

PDDLGym: Gym Environments from PDDL Problems. - Tom Silver; Rohan Chitnis (CoRR, 2020)

GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. - Rohan Chitnis; Tom Silver; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Tomás Lozano-Pérez (AAAI, 2021)

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. - Tom Silver; Rohan Chitnis; Aidan Curtis; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (AAAI, 2021)

Learning Symbolic Operators for Task and Motion Planning. - Tom Silver; Rohan Chitnis; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Tomás Lozano-Pérez (IROS, 2021)

Integrated Task and Motion Planning. - Caelan Reed Garrett; Rohan Chitnis; Rachel M. Holladay; Beomjoon Kim; Tom Silver; Leslie Pack Kaelbling; Tomás Lozano-Pérez (Annu. Rev. Control. Robotics Auton. Syst., 2021)

Discovering State and Action Abstractions for Generalized Task and Motion Planning. - Aidan Curtis; Tom Silver; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (AAAI, 2022)

Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators. - Clement Gehring; Masataro Asai; Rohan Chitnis; Tom Silver; Leslie Pack Kaelbling; Shirin Sohrabi; Michael Katz 001 (ICAPS, 2022)

Learning Neuro-Symbolic Skills for Bilevel Planning. - Tom Silver; Ashay Athalye; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRL, 2022)

PG3: Policy-Guided Planning for Generalized Policy Generation. - Ryan Yang; Tom Silver; Aidan Curtis; Tomás Lozano-Pérez; Leslie Pack Kaelbling (IJCAI, 2022)

Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. - Rohan Chitnis; Tom Silver; Joshua B. Tenenbaum; Tomás Lozano-Pérez; Leslie Pack Kaelbling (IROS, 2022)

Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning. - Tom Silver; Rohan Chitnis; Nishanth Kumar; Willie McClinton; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Joshua B. Tenenbaum (CoRR, 2022)

Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains. - Nishanth Kumar; Willie McClinton; Rohan Chitnis; Tom Silver; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2022)

Predicate Invention for Bilevel Planning. - Tom Silver; Rohan Chitnis; Nishanth Kumar; Willie McClinton; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Joshua B. Tenenbaum (AAAI, 2023)

Embodied Active Learning of Relational State Abstractions for Bilevel Planning. - Amber Li; Tom Silver (CoLLAs, 2023)

Learning Efficient Abstract Planning Models that Choose What to Predict. - Nishanth Kumar; Willie McClinton; Rohan Chitnis; Tom Silver; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRL, 2023)

Generalized Planning in PDDL Domains with Pretrained Large Language Models. - Tom Silver; Soham Dan; Kavitha Srinivas; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Michael Katz 001 (AAAI, 2024)

Practice Makes Perfect: Planning to Learning Skill Parameter Policies. - Nishanth Kumar; Tom Silver; Willie McClinton; Linfeng Zhao; Stephen Proulx; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Jennifer L. Barry (Robotics: Science and Systems, 2024)

Practice Makes Perfect: Planning to Learn Skill Parameter Policies. - Nishanth Kumar; Tom Silver; Willie McClinton; Linfeng Zhao; Stephen Proulx; Tomás Lozano-Pérez; Leslie Pack Kaelbling; Jennifer L. Barry (CoRR, 2024)

Anticipatory Task and Motion Planning. - Roshan Dhakal; Duc M. Nguyen; Tom Silver; Xuesu Xiao; Gregory J. Stein (CoRR, 2024)

GRACE: Generalizing Robot-Assisted Caregiving with User Functionality Embeddings. - Ziang Liu 002; Yuanchen Ju; Yu Da; Tom Silver; Pranav N. Thakkar; Jenna Li; Justin Guo; Katherine Dimitropoulou; Tapomayukh Bhattacharjee (HRI, 2025)

CART-MPC: Coordinating Assistive Devices for Robot-Assisted Transferring with Multi-Agent Model Predictive Control. - Ruolin Ye; Shuaixing Chen; Yunting Yan; Joyce Yang; Christina Ge; Jose Barreiros; Kate Tsui; Tom Silver; Tapomayukh Bhattacharjee (HRI, 2025)

VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning. - Yichao Liang; Nishanth Kumar; Hao Tang 008; Adrian Weller; Joshua B. Tenenbaum; Tom Silver; João F. Henriques; Kevin Ellis (ICLR, 2025)

Predicate Invention from Pixels via Pretrained Vision-Language Models. - Ashay Athalye; Nishanth Kumar; Tom Silver; Yichao Liang; Tomás Lozano-Pérez; Leslie Pack Kaelbling (CoRR, 2025)

Bilevel Learning for Bilevel Planning. - Bowen Li 007; Tom Silver; Sebastian A. Scherer; Alexander G. Gray (CoRR, 2025)

Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators. - Linfeng Zhao; Willie McClinton; Aidan Curtis; Nishanth Kumar; Tom Silver; Leslie Pack Kaelbling; Lawson L. S. Wong (CoRR, 2025)

Coloring Between the Lines: Personalization in the Null Space of Planning Constraints. - Tom Silver; Rajat Kumar Jenamani; Ziang Liu 002; Ben Dodson; Tapomayukh Bhattacharjee (CoRR, 2025)

CLAMP: Crowdsourcing a LArge-scale in-the-wild haptic dataset with an open-source device for Multimodal robot Perception. - Pranav N. Thakkar; Shubhangi Sinha; Karan Baijal; Yuhan Bian; Leah Lackey; Ben Dodson; Heisen Kong; Jueun Kwon; Amber Li; Yifei Hu; Alexios Rekoutis; Tom Silver; et al. (CoRR, 2025)

SAVOR: Skill Affordance Learning from Visuo-Haptic Perception for Robot-Assisted Bite Acquisition. - Zhanxin Wu; Bo Ai 008; Tom Silver; Tapomayukh Bhattacharjee (CoRR, 2025)

FEAST: A Flexible Mealtime-Assistance System Towards In-the-Wild Personalization. - Rajat Kumar Jenamani; Tom Silver; Ben Dodson; Shiqin Tong; Anthony Song; Yuting Yang; Ziang Liu 002; Benjamin Howe; Aimee Whitneck; Tapomayukh Bhattacharjee (CoRR, 2025)