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LLM-Guided Probabilistic Program Induction for POMDP Model Estimation

4 May 2025

Leslie Pack Kaelbling

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Papers citing "LLM-Guided Probabilistic Program Induction for POMDP Model Estimation"

26 / 26 papers shown

Title
Mini Amusement Parks (MAPs): A Testbed for Modelling Business Decisions Stéphane Aroca-Ouellette Ian Berlot-Attwell Panagiotis Lymperopoulos Abhiramon Rajasekharan Tongqi Zhu Herin Kang Kaheer Suleman Sam Pasupalak 97 0 0 19 Nov 2025
Shoot First, Ask Questions Later? Building Rational Agents that Explore and Act Like People Gabriel Grand Valerio Pepe Jacob Andreas Joshua B. Tenenbaum 75 0 0 23 Oct 2025
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot PlanningInternational Conference on Learning Representations (ICLR), 2024 Yichao Liang Nishanth Kumar Hao Tang Adrian Weller J. Tenenbaum Tom Silver Joao Henriques Kevin Ellis 313 25 0 30 Oct 2024
Trust the PRoC3S: Solving Long-Horizon Robotics Problems with LLMs and Constraint SatisfactionConference on Robot Learning (CoRL), 2024 Aidan Curtis Nishanth Kumar Jing Cao Tomás Lozano-Pérez Leslie Pack Kaelbling 254 22 0 08 Jun 2024
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff Hao Tang Keya Hu Jin Peng Zhou Sicheng Zhong Wei-Long Zheng Xujie Si Kevin Ellis 172 41 0 26 May 2024
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness Aidan Curtis George Matheos Nishad Gothoskar Vikash K. Mansinghka Joshua Tenenbaum Tomás Lozano-Pérez L. Kaelbling 213 16 0 15 Mar 2024
Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling Gabriel Grand Valerio Pepe Jacob Andreas Joshua B. Tenenbaum ReLM 310 12 0 29 Feb 2024
Automated Statistical Model Discovery with Language Models Michael Y. Li Emily B. Fox Noah D. Goodman 242 29 0 27 Feb 2024
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment Hao Tang Darren Key Kevin Ellis LLMAG 241 66 0 19 Feb 2024
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented TasksNeural Information Processing Systems (NeurIPS), 2023 Maxime Chevalier-Boisvert Bolun Dai Mark Towers Rodrigo de Lazcano Lucas Willems Salem Lahlou Suman Pal Pablo Samuel Castro Jordan Terry VGen 318 297 0 24 Jun 2023
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought L. Wong Gabriel Grand Alexander K. Lew Noah D. Goodman Vikash K. Mansinghka Jacob Andreas J. Tenenbaum LRM AI4CE 195 126 0 22 Jun 2023
SatLM: Satisfiability-Aided Language Models Using Declarative PromptingNeural Information Processing Systems (NeurIPS), 2023 Xi Ye Qiaochu Chen Işıl Dillig Greg Durrett ReLM ReCod LRM 309 102 0 16 May 2023
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object DetectionEuropean Conference on Computer Vision (ECCV), 2023 Shilong Liu Zhaoyang Zeng Tianhe Ren Feng Li Hao Zhang ... Chun-yue Li Jianwei Yang Hang Su Jun Zhu Lei Zhang ObjD 650 3,098 0 09 Mar 2023
A System for Generalized 3D Multi-Object SearchIEEE International Conference on Robotics and Automation (ICRA), 2023 Kaiyu Zheng Anirudha Paul Stefanie Tellex 3DPC 248 19 0 06 Mar 2023
Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated ObjectsIEEE International Conference on Robotics and Automation (ICRA), 2022 Aidan Curtis L. Kaelbling Siddarth Jain 173 10 0 08 Dec 2022
Sample-Efficient Reinforcement Learning of Undercomplete POMDPs Chi Jin Sham Kakade A. Krishnamurthy Qinghua Liu 219 70 0 22 Jun 2020
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning Kevin Ellis Catherine Wong Maxwell Nye Mathias Sablé-Meyer Luc Cary Lucas Morales Luke B. Hewitt Armando Solar-Lezama J. Tenenbaum NAI CLL 250 222 0 15 Jun 2020
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 280 1,170 0 18 Oct 2018
Asymmetric Actor Critic for Image-Based Robot Learning Lerrel Pinto Marcin Andrychowicz Peter Welinder Wojciech Zaremba Pieter Abbeel OffRL 207 441 0 18 Oct 2017
Online algorithms for POMDPs with continuous state, action, and observation spaces Zachary Sunberg Mykel Kochenderfer 156 24 0 18 Sep 2017
Robotic manipulation of multiple objects as a POMDPArtificial Intelligence (AI), 2014 Joni Pajarinen Ville Kyrki 311 59 0 04 Feb 2014
Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision ProcessesConference on Uncertainty in Artificial Intelligence (UAI), 1997 A. Cassandra Michael L. Littman Ningyu Zhang 168 512 0 06 Feb 2013
Heuristic Search Value Iteration for POMDPsConference on Uncertainty in Artificial Intelligence (UAI), 2004 Trey Smith R. Simmons 202 565 0 11 Jul 2012
Apprenticeship Learning for Model Parameters of Partially Observable EnvironmentsInternational Conference on Machine Learning (ICML), 2012 Takaki Makino Johane Takeuchi 117 21 0 27 Jun 2012
Church: a language for generative modelsConference on Uncertainty in Artificial Intelligence (UAI), 2008 Noah D. Goodman Vikash K. Mansinghka Daniel M. Roy Keith Bonawitz J. Tenenbaum 319 832 0 13 Jun 2012
Closing the Learning-Planning Loop with Predictive State Representations Byron Boots S. Siddiqi Geoffrey J. Gordon 334 267 0 12 Dec 2009