Vrancx, Peter

9 publications

LoG 2025 Understanding Feature/Structure Interplay in Graph Neural Networks Diana Gomes, Ann Nowe, Peter Vrancx

TMLR 2024 Depth Scaling in Graph Neural Networks: Understanding the Flat Curve Behavior Diana Gomes, Kyriakos Efthymiadis, Ann Nowe, Peter Vrancx

NeurIPSW 2022 When Are Graph Neural Networks Better than Structure-Agnostic Methods? Diana Gomes, Frederik Ruelens, Kyriakos Efthymiadis, Ann Nowe, Peter Vrancx

ICML 2020 Batch Reinforcement Learning with Hyperparameter Gradients Byungjun Lee, Jongmin Lee, Peter Vrancx, Dongho Kim, Kee-Eung Kim

ICML 2019 Per-Decision Option Discounting Anna Harutyunyan, Peter Vrancx, Philippe Hamel, Ann Nowe, Doina Precup

ICLR 2019 Soft Q-Learning with Mutual-Information Regularization Jordi Grau-Moya, Felix Leibfried, Peter Vrancx

AAAI 2018 Learning with Options That Terminate Off-Policy Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé

AAAI 2018 Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé

AAAI 2015 Expressing Arbitrary Reward Functions as Potential-Based Advice Anna Harutyunyan, Sam Devlin, Peter Vrancx, Ann Nowé