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Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary

29 April 2017

Papers citing "Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary"

50 / 105 papers shown

Title
SLAP: Shortcut Learning for Abstract Planning Yaoyao Liu Bowen Li Benjamin Eysenbach Tom Silver OffRL 113 1 0 02 Nov 2025
Learning Lifted Action Models From Traces of Incomplete Actions and States Niklas Jansen Jonas Gösgens Hector Geffner 77 0 0 29 Aug 2025
Exploiting Symbolic Heuristics for the Synthesis of Domain-Specific Temporal Planning Guidance using Reinforcement Learning Irene Brugnara Alessandro Valentini Andrea Micheli 152 0 0 19 May 2025
Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance Wenyan Yang Ahmet Tikna Yi Zhao Yuying Zhang Luigi Palopoli Marco Roveri Joni Pajarinen VGen 308 0 0 13 May 2025
Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill LearningIEEE International Conference on Robotics and Automation (ICRA), 2025 Leon Keller Daniel Tanneberg Jan Peters 264 4 0 27 Mar 2025
Bilevel Learning for Bilevel Planning Bowen Li Tom Silver Sebastian A. Scherer Alexander G. Gray 604 6 0 12 Feb 2025
From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models Ashay Athalye Nishanth Kumar Tom Silver Yichao Liang Tomás Lozano-Pérez Leslie Pack Kaelbling Leslie Kaelbling LM&Ro 318 8 0 31 Dec 2024
Unveiling the Role of Expert Guidance: A Comparative Analysis of User-centered Imitation Learning and Traditional Reinforcement Learning Amr Gomaa Bilal Mahdy 145 2 0 28 Oct 2024
Synthesizing Evolving Symbolic Representations for Autonomous SystemsProgress in Artificial Intelligence (PAI), 2024 Gabriele Sartor A. Oddi R. Rasconi V. Santucci Rosa Meo 159 0 0 18 Sep 2024
ODGR: Online Dynamic Goal Recognition Matan Shamir Osher Elhadad Matthew E. Taylor Reuth Mirsky 133 4 0 23 Jul 2024
Learning Abstract World Model for Value-preserving Planning with Options Rafael Rodríguez-Sánchez George Konidaris 266 3 0 22 Jun 2024
Neural Concept BinderNeural Information Processing Systems (NeurIPS), 2024 Wolfgang Stammer Antonia Wüst David Steinmann Kristian Kersting OCL 284 10 0 14 Jun 2024
Goal Recognition via Linear Programming Felipe Meneguzzi Luísa R. de A. Santos Ramon Fraga Pereira André Grahl Pereira 176 1 0 11 Apr 2024
On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning Giuseppe Canonaco Leo Ardon Alberto Pozanco Daniel Borrajo OffRL 246 2 0 11 Apr 2024
Symbolic Manipulation Planning with Discovered Object and Relational PredicatesIEEE Robotics and Automation Letters (RA-L), 2024 Alper Ahmetoglu Erhan Öztop Emre Ugur 247 10 0 02 Jan 2024
MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds William Hill Ireton Liu Anita De Mello Koch Damion Harvey Nishanth Kumar George Konidaris Steven D. James LM&Ro 214 4 0 20 Dec 2023
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI PlanningAAAI Conference on Artificial Intelligence (AAAI), 2023 Turgay Caglar Sirine Belhaj Tathagata Chakraborti Michael Katz S. Sreedharan LRM LLMAG 212 9 0 22 Nov 2023
Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systems Amr Gomaa Michael Feld 132 1 0 11 Sep 2023
Discovering Predictive Relational Object Symbols with Symbolic Attentive LayersIEEE Robotics and Automation Letters (RA-L), 2023 Alper Ahmetoglu Batuhan Celik Erhan Öztop Emre Ugur 206 9 0 02 Sep 2023
Learning Type-Generalized Actions for Symbolic PlanningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Daniel Tanneberg Michael Gienger 193 5 0 09 Aug 2023
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems Amr Gomaa Bilal Mahdy Niko Kleer Michael Feld Frank Kirchner Antonio Krüger 218 6 0 07 Jul 2023
Plausibility-Based Heuristics for Latent Space Classical Planning Yuta Takata A. Fukunaga LRM 221 0 0 20 Jun 2023
Planning for Learning Object PropertiesAAAI Conference on Artificial Intelligence (AAAI), 2023 Leonardo Lamanna Luciano Serafini Mohamadreza Faridghasemnia A. Saffiotti A. Saetti Alfonso Gerevini P. Traverso 160 9 0 15 Jan 2023
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges T. Taniguchi Shingo Murata Masahiro Suzuki D. Ognibene Pablo Lanillos ... L. Jamone Tomoaki Nakamura Alejandra Ciria B. Lara G. Pezzulo 247 73 0 14 Jan 2023
Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning Leo Ardon Alberto Pozanco Daniel Borrajo Sumitra Ganesh OffRL 143 0 0 28 Nov 2022
Learning Visual Planning Models from Partially Observed Images Kebing Jin Zhanhao Xiao Hankui Zhuo Hai Wan Jiaran Cai 105 0 0 25 Nov 2022
Simulated Mental Imagery for Robotic Task Planning Shijia Li Tomas Kulvicius M. Tamosiunaite Florentin Wörgötter LM&Ro 191 2 0 15 Nov 2022
Formal Conceptual Views in Neural Networks Johannes Hirth Tom Hanika 111 2 0 27 Sep 2022
Learning Efficient Abstract Planning Models that Choose What to PredictConference on Robot Learning (CoRL), 2022 Nishanth Kumar Willie McClinton Rohan Chitnis Tom Silver Tomás Lozano-Pérez L. Kaelbling 249 25 0 16 Aug 2022
Learning Multi-Object Symbols for Manipulation with Attentive Deep Effect PredictorsSignal Processing and Communications Applications Conference (SPCA), 2022 Alper Ahmetoglu Erhan Öztop Emre Ugur 197 4 0 01 Aug 2022
Language-Based Causal Representation Learning Blai Bonet Hector Geffner 215 0 0 12 Jul 2022
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for PlanningConference on Robot Learning (CoRL), 2022 Jan Achterhold Markus Krimmel Joerg Stueckler 307 10 0 11 Jul 2022
Learning Symbolic Operators: A Neurosymbolic Solution for Autonomous Disassembly of Electric Vehicle Battery Yidong Du Wenshuo Wang Zhigang Wang Hua Yang Haitao Wang Yinghao Cai Ming Chen 183 3 0 07 Jun 2022
Learning First-Order Symbolic Planning Representations That Are Grounded Andrés Occhipinti Liberman Blai Bonet Hector Geffner NAI 142 7 0 25 Apr 2022
Inductive Biases for Object-Centric Representations in the Presence of Complex Textures Samuele Papa Ole Winther Andrea Dittadi OCL 349 15 0 18 Apr 2022
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract RepresentationsInternational Symposium of Robotics Research (ISRR), 2022 Adam Pacheck Steven D. James George Konidaris H. Kress-Gazit 91 8 0 18 Apr 2022
Predicate Invention for Bilevel PlanningAAAI Conference on Artificial Intelligence (AAAI), 2022 Tom Silver Rohan Chitnis Nishanth Kumar Willie McClinton Tomás Lozano-Pérez L. Kaelbling J. Tenenbaum 449 58 0 17 Mar 2022
Online Learning of Reusable Abstract Models for Object Goal NavigationComputer Vision and Pattern Recognition (CVPR), 2022 Tommaso Campari Leonardo Lamanna P. Traverso Luciano Serafini Lamberto Ballan EgoV 174 22 0 04 Mar 2022
Heuristic Search Planning with Deep Neural Networks using Imitation, Attention and Curriculum Learning Leah A. Chrestien Tomás Pevný Antonín Komenda Stefan Edelkamp 164 13 0 03 Dec 2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence Nicholas Roy Ingmar Posner Timothy D. Barfoot Philippe Beaudoin Yoshua Bengio ... S. Schaal Gaurav Sukhatme D. Thérien Marc Toussaint M. van de Panne 294 82 0 28 Oct 2021
Planning from Pixels in Environments with Combinatorially Hard Search SpacesNeural Information Processing Systems (NeurIPS), 2021 Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 233 9 0 12 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 332 126 0 04 Oct 2021
Is Policy Learning Overrated?: Width-Based Planning and Active Learning for Atari B. Ayton Masataro Asai VLM OffRL 154 1 0 30 Sep 2021
Grounding Predicates through Actions Toki Migimatsu Jeannette Bohg 422 39 0 29 Sep 2021
Subgoal Search For Complex Reasoning TasksNeural Information Processing Systems (NeurIPS), 2021 K. Czechowski Tomasz Odrzygó'zd'z Marek Zbysiñski Michał Zawalski Krzysztof Olejnik Yuhuai Wu Lukasz Kuciñski Piotr Milo's ReLM LRM 220 39 0 25 Aug 2021
Learning Causal Models of Autonomous Agents using Interventions Pulkit Verma Siddharth Srivastava CML 122 6 0 21 Aug 2021
Classical Planning in Deep Latent SpaceJournal of Artificial Intelligence Research (JAIR), 2021 Masataro Asai Hiroshi Kajino A. Fukunaga Christian Muise VLM 398 24 0 30 Jun 2021
Model-Based Reinforcement Learning via Latent-Space Collocation Oleh Rybkin Chuning Zhu Anusha Nagabandi Kostas Daniilidis Igor Mordatch Sergey Levine OffRL 309 42 0 24 Jun 2021
High-level Features for Resource Economy and Fast Learning in Skill Transfer Alper Ahmetoglu Emre Ugur Minoru Asada Erhan Öztop 188 4 0 18 Jun 2021
pix2rule: End-to-end Neuro-symbolic Rule LearningInternational Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2021 Nuri Cingillioglu A. Russo NAI 194 12 0 14 Jun 2021