Learning Symbolic Models of Stochastic Domains

10 October 2011

L. S. Zettlemoyer

Papers citing "Learning Symbolic Models of Stochastic Domains"

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Title
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning Leon Keller Daniel Tanneberg Jan Peters 59 0 0 27 Mar 2025
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning Yichao Liang Nishanth Kumar Hao Tang Adrian Weller J. Tenenbaum Tom Silver Joao Henriques Kevin Ellis 55 11 0 30 Oct 2024
InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning Muzhi Han Yifeng Zhu Song-Chun Zhu Yingnian Wu Yuke Zhu 45 24 0 30 May 2024
Learning Planning Abstractions from Language Weiyu Liu Geng Chen Joy Hsu Jiayuan Mao Jiajun Wu PINN 51 2 0 06 May 2024
A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches Zhigen Zhao Shuo Cheng Yan Ding Ziyi Zhou Shiqi Zhang Danfei Xu Ye Zhao 46 22 0 03 Apr 2024
Planning Domain Model Acquisition from State Traces without Action Parameters Tomávs Balyo Martin Suda Lukávs Chrpa Dominik vSafránek Filip Dvovrák Filip Dvorák Roman Barták G. M. Youngblood 38 1 0 16 Feb 2024
NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors Shuo Cheng Caelan Reed Garrett Ajay Mandlekar Danfei Xu 51 2 0 02 Nov 2023
Human-in-the-Loop Task and Motion Planning for Imitation Learning Ajay Mandlekar Caelan Reed Garrett Danfei Xu Dieter Fox 43 15 0 24 Oct 2023
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models Utkarsh Aashu Mishra Shangjie Xue Yongxin Chen Danfei Xu LRM 36 68 0 13 Oct 2023
Learning Type-Generalized Actions for Symbolic Planning Daniel Tanneberg Michael Gienger 25 4 0 09 Aug 2023
Synthesis of Procedural Models for Deterministic Transition Systems Javier Segovia-Aguas Jonathan Ferrer-Mestres Sergio Jiménez 16 1 0 25 Jul 2023
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings (Extended Version) Pulkit Verma Rushang Karia Siddharth Srivastava 39 10 0 07 Jun 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 39 3 0 20 Apr 2023
PDSketch: Integrated Planning Domain Programming and Learning Jiayuan Mao Tomás Lozano-Pérez J. Tenenbaum L. Kaelbling 34 3 0 09 Mar 2023
Embodied Active Learning of Relational State Abstractions for Bilevel Planning Amber Li Tom Silver 25 10 0 08 Mar 2023
NeSIG: A Neuro-Symbolic Method for Learning to Generate Planning Problems Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 20 4 0 24 Jan 2023
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation Shuo Cheng Danfei Xu 58 37 0 23 Oct 2022
Learning Efficient Abstract Planning Models that Choose What to Predict Nishanth Kumar Willie McClinton Rohan Chitnis Tom Silver Tomás Lozano-Pérez L. Kaelbling 37 18 0 16 Aug 2022
Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver Ashay Athalye J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 37 59 0 21 Jun 2022
A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies Duo Xu Faramarz Fekri 27 2 0 07 Apr 2022
Predicate Invention for Bilevel Planning Tom Silver Rohan Chitnis Nishanth Kumar Willie McClinton Tomas Lozano-Perez L. Kaelbling J. Tenenbaum 31 40 0 17 Mar 2022
Neural NID Rules Luca Viano Johanni Brea NAI AI4CE 16 0 0 12 Feb 2022
A Survey on Interpretable Reinforcement Learning Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang Jianye Hao Wulong Liu OffRL 23 95 0 24 Dec 2021
Learning Numerical Action Models from Noisy Input Data José Á. Segura-Muros Juan Fernández-Olivares Raúl Pérez 13 3 0 09 Nov 2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence Nicholas Roy Ingmar Posner T. Barfoot Philippe Beaudoin Yoshua Bengio ... S. Schaal Gaurav Sukhatme D. Thérien Marc Toussaint M. van de Panne 40 54 0 28 Oct 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 24 44 0 27 Jul 2021
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning Rohan Chitnis Tom Silver J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 18 53 0 28 May 2021
Learning Symbolic Operators for Task and Motion Planning Tom Silver Rohan Chitnis J. Tenenbaum L. Kaelbling Tomas Lozano-Perez 34 81 0 28 Feb 2021
Relational Learning for Skill Preconditions Mohit Sharma Oliver Kroemer SSL 27 18 0 03 Dec 2020
Deep Affordance Foresight: Planning Through What Can Be Done in the Future Danfei Xu Ajay Mandlekar Roberto Martín-Martín Yuke Zhu Silvio Savarese Li Fei-Fei 33 71 0 17 Nov 2020
Deliberative Acting, Online Planning and Learning with Hierarchical Operational Models Sunandita Patra J. Mason M. Ghallab Dana S. Nau P. Traverso 17 11 0 02 Oct 2020
Leveraging Multiple Environments for Learning and Decision Making: a Dismantling Use Case Alejandro Suárez-Hernández Thierry Gaugry Javier Segovia Aguas Antonin Bernardin Carme Torras M. Marchal Guillem Alenyà 13 1 0 18 Sep 2020
Adaptable and Verifiable BDI Reasoning Peter Stringer R. C. Cardoso Xiaowei Huang Louise A. Dennis 13 8 0 23 Jul 2020
Evaluating the Apperception Engine Richard Evans Jose Hernandez-Orallo Johannes Welbl Pushmeet Kohli Marek Sergot 30 4 0 09 Jul 2020
PDDLGym: Gym Environments from PDDL Problems Tom Silver Rohan Chitnis AI4CE 25 56 0 15 Feb 2020
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling Rohan Chitnis Tom Silver J. Tenenbaum L. Kaelbling Tomas Lozano-Perez LM&Ro 27 4 0 22 Jan 2020
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 21 52 0 05 Oct 2019
Learning Action Models from Disordered and Noisy Plan Traces Hankui Zhuo Jing Peng S. Kambhampati 21 10 0 26 Aug 2019
Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications Tim Welschehold N. Abdo C. Dornhege Wolfram Burgard 31 10 0 25 Aug 2019
Representation Learning for Classical Planning from Partially Observed Traces Zhanhao Xiao Hai Wan Hankui Zhuo Jinxia Lin Yanan Liu 15 4 0 19 Jul 2019
Neural Logic Machines Honghua Dong Jiayuan Mao Tian Lin Chong-Jun Wang Lihong Li Denny Zhou NAI LRM AI4CE 30 248 0 26 Apr 2019
Incremental Learning of Discrete Planning Domains from Continuous Perceptions Luciano Serafini P. Traverso 17 4 0 14 Mar 2019
Learning sparse relational transition models Victoria Xia Zi Wang L. Kaelbling 22 23 0 26 Oct 2018
Learning Quickly to Plan Quickly Using Modular Meta-Learning Rohan Chitnis L. Kaelbling Tomás Lozano-Pérez 22 26 0 20 Sep 2018
Symbol Emergence in Cognitive Developmental Systems: a Survey T. Taniguchi Emre Ugur Matej Hoffmann L. Jamone Takayuki Nagai ... Toshihiko Matsuka N. Iwahashi Erhan Öztop J. Piater Florentin Wörgötter 31 90 0 26 Jan 2018
Metric Learning for Generalizing Spatial Relations to New Objects Oier Mees N. Abdo Mladen Mazuran Wolfram Burgard 19 27 0 06 Mar 2017
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks Stefano V. Albrecht S. Ramamoorthy 31 22 0 30 Jan 2014
Planning with Noisy Probabilistic Relational Rules Tobias Lang Marc Toussaint 43 86 0 16 Jan 2014
Learning STRIPS Operators from Noisy and Incomplete Observations Kira Mourão Luke S. Zettlemoyer Ronald P. A. Petrick Mark Steedman OffRL 58 110 0 16 Oct 2012
Exploring compact reinforcement-learning representations with linear regression Thomas J. Walsh I. Szita Carlos Diuk Michael L. Littman OffRL 55 113 0 09 May 2012