Tom Silver

According to our database1, Tom Silver authored at least 28 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Practice Makes Perfect: Planning to Learn Skill Parameter Policies.
CoRR, 2024

Generalized Planning in PDDL Domains with Pretrained Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning Efficient Abstract Planning Models that Choose What to Predict.
Proceedings of the Conference on Robot Learning, 2023

Embodied Active Learning of Relational State Abstractions for Bilevel Planning.
Proceedings of the Conference on Lifelong Learning Agents, 2023

Predicate Invention for Bilevel Planning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains.
CoRR, 2022

Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning.
CoRR, 2022

Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

PG3: Policy-Guided Planning for Generalized Policy Generation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Neuro-Symbolic Skills for Bilevel Planning.
Proceedings of the Conference on Robot Learning, 2022

Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Discovering State and Action Abstractions for Generalized Task and Motion Planning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Integrated Task and Motion Planning.
Annu. Rev. Control. Robotics Auton. Syst., 2021

Learning Symbolic Operators for Task and Motion Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
PDDLGym: Gym Environments from PDDL Problems.
CoRR, 2020

GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning.
CoRR, 2020

Online Bayesian Goal Inference for Boundedly Rational Planning Agents.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning constraint-based planning models from demonstrations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs.
Proceedings of the 4th Conference on Robot Learning, 2020

Few-Shot Bayesian Imitation Learning with Logical Program Policies.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Few-Shot Bayesian Imitation Learning with Logic over Programs.
CoRR, 2019

Learning sparse relational transition models.
Proceedings of the 7th International Conference on Learning Representations, 2019

Discovering a symbolic planning language from continuous experience.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Residual Policy Learning.
CoRR, 2018

Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics.
Proceedings of the 34th International Conference on Machine Learning, 2017


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