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"

26 / 26 papers shown

Title
Symbolically-Guided Visual Plan Inference from Uncurated Video Data Wenyan Yang Ahmet Tikna Yi Zhao Yuying Zhang Luigi Palopoli Marco Roveri Joni Pajarinen VGen 34 0 0 13 May 2025
Bilevel Learning for Bilevel Planning Bowen Li Tom Silver Sebastian A. Scherer Alexander G. Gray 87 2 0 12 Feb 2025
Synthesizing Evolving Symbolic Representations for Autonomous Systems Gabriele Sartor A. Oddi R. Rasconi V. Santucci Rosa Meo 26 0 0 18 Sep 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 37 0 0 20 Dec 2023
Learning Type-Generalized Actions for Symbolic Planning Daniel Tanneberg Michael Gienger 25 4 0 09 Aug 2023
Plausibility-Based Heuristics for Latent Space Classical Planning Yuta Takata A. Fukunaga LRM 26 0 0 20 Jun 2023
Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning Leo Ardon Alberto Pozanco Daniel Borrajo Sumitra Ganesh OffRL 23 0 0 28 Nov 2022
Formal Conceptual Views in Neural Networks Johannes Hirth Tom Hanika 23 2 0 27 Sep 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 Multi-Object Symbols for Manipulation with Attentive Deep Effect Predictors Alper Ahmetoglu Erhan Öztop Emre Ugur 26 4 0 01 Aug 2022
Learning First-Order Symbolic Planning Representations That Are Grounded Andrés Occhipinti Liberman Blai Bonet Hector Geffner NAI 24 7 0 25 Apr 2022
Online Learning of Reusable Abstract Models for Object Goal Navigation Tommaso Campari Leonardo Lamanna P. Traverso Luciano Serafini Lamberto Ballan EgoV 15 19 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 19 10 0 03 Dec 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 26 6 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 33 95 0 04 Oct 2021
Grounding Predicates through Actions Toki Migimatsu Jeannette Bohg 150 33 0 29 Sep 2021
High-level Features for Resource Economy and Fast Learning in Skill Transfer Alper Ahmetoglu Emre Ugur Minoru Asada Erhan Öztop 27 5 0 18 Jun 2021
Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents K. Murugesan Subhajit Chaudhury Kartik Talamadupula 41 5 0 09 Jun 2021
Neuro-Symbolic Artificial Intelligence: Current Trends Md Kamruzzaman Sarker Lu Zhou Aaron Eberhart Pascal Hitzler NAI 29 87 0 11 May 2021
Planning from Pixels in Atari with Learned Symbolic Representations Andrea Dittadi Frederik K. Drachmann Thomas Bolander 31 11 0 16 Dec 2020
Making sense of sensory input Maciej Wołczyk Jacek Tabor Johannes Welbl Szymon Maszke Marek Sergot 24 52 0 05 Oct 2019
Learning First-Order Symbolic Representations for Planning from the Structure of the State Space Blai Bonet Hector Geffner NAI 17 53 0 12 Sep 2019
Deep Neuroevolution of Recurrent and Discrete World Models S. Risi Kenneth O. Stanley OCL 22 53 0 28 Apr 2019
Towards Stable Symbol Grounding with Zero-Suppressed State AutoEncoder Masataro Asai Hiroshi Kajino 22 15 0 27 Mar 2019
Unsupervised Grounding of Plannable First-Order Logic Representation from Images Masataro Asai NAI 22 58 0 21 Feb 2019
Incremental learning abstract discrete planning domains and mappings to continuous perceptions Luciano Serafini P. Traverso CLL 31 2 0 16 Oct 2018