Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits

21 September 2021

Papers citing "Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits"

18 / 18 papers shown

Title
Leveraging Action Relational Structures for Integrated Learning and Planning Ryan Xiao Wang Felipe Trevizan 26 0 0 29 Apr 2025
Learning Efficiency Meets Symmetry Breaking Yingbin Bai Sylvie Thiébaux Felipe Trevizan 29 0 0 28 Apr 2025
Graph Learning for Numeric Planning Dillon Z. Chen Sylvie Thiébaux 31 0 0 08 Jan 2025
WLPlan: Relational Features for Symbolic Planning Dillon Z. Chen 38 0 0 01 Nov 2024
Deep Learning for Generalised Planning with Background Knowledge Dillon Z. Chen Rostislav Horčík Gustav Šír 25 1 0 10 Oct 2024
Learning to Ground Existentially Quantified Goals Martin Funkquist Simon Ståhlberg Hector Geffner 9 0 0 30 Sep 2024
Symmetries and Expressive Requirements for Learning General Policies Dominik Drexler Simon Ståhlberg Blai Bonet Hector Geffner 19 0 0 24 Sep 2024
Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains Till Hofmann Hector Geffner OffRL 19 2 0 03 Apr 2024
On Policy Reuse: An Expressive Language for Representing and Executing General Policies that Call Other Policies Blai Bonet Dominik Drexler Hector Geffner 11 2 0 25 Mar 2024
Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning Dillon Z. Chen Felipe W. Trevizan Sylvie Thiébaux VLM 23 7 0 25 Mar 2024
Future Directions in the Theory of Graph Machine Learning Christopher Morris Fabrizio Frasca Nadav Dym Haggai Maron .Ismail .Ilkan Ceylan Ron Levie Derek Lim Michael M. Bronstein Martin Grohe Stefanie Jegelka AI4CE 30 4 0 03 Feb 2024
Learning Domain-Independent Heuristics for Grounded and Lifted Planning Dillon Z. Chen Sylvie Thiébaux Felipe W. Trevizan AI4CE 19 15 0 18 Dec 2023
Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal Leah A. Chrestien Tomás Pevný Stefan Edelkamp Antonín Komenda 18 9 0 30 Oct 2023
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning R. Bettker P. Minini André Grahl Pereira M. Ritt 19 1 0 23 Nov 2022
Language-Based Causal Representation Learning Blai Bonet Hector Geffner 14 0 0 12 Jul 2022
Learning Generalized Policies Without Supervision Using GNNs Simon Ståhlberg Blai Bonet Hector Geffner OffRL 11 27 0 12 May 2022
Target Languages (vs. Inductive Biases) for Learning to Act and Plan Hector Geffner 15 3 0 15 Sep 2021
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,086 0 30 Nov 2018