Nowe, Ann

34 publications

JAIR 2025 Collective Intelligence in Decision-Making with Non-Stationary Experts Axel Abels, Vito Trianni, Ann Nowé, Tom Lenaerts

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

ICLR 2024 The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments Through Reliable Latent Space Models Raphaël Avalos, Florent Delgrange, Ann Nowe, Guillermo Perez, Diederik M Roijers

NeurIPS 2023 A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning Florian Felten, Lucas N. Alegre, Ann Nowe, Ana Bazzan, El Ghazali Talbi, Grégoire Danoy, Bruno C. da Silva

IJCAI 2023 Distributional Multi-Objective Decision Making Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers

ICML 2023 Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowe

TMLR 2023 Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs Raphaël Avalos, Mathieu Reymond, Ann Nowe, Diederik M Roijers

NeurIPS 2023 Multi-Step Generalized Policy Improvement by Leveraging Approximate Models Lucas N. Alegre, Ana Bazzan, Ann Nowe, Bruno C. da Silva

ICLR 2023 Wasserstein Auto-Encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-Sided Guarantees Florent Delgrange, Ann Nowe, Guillermo Perez

AAAI 2022 Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes Florent Delgrange, Ann Nowé, Guillermo A. Pérez

ICLRW 2022 Toward Evolutionary Autocurricula: Emergent Sociality from Inclusive Rewards Andries Rosseau, Raphaël Avalos, Ann Nowe

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

MLOSS 2020 AI-Toolbox: A C++ Library for Reinforcement Learning and Planning (with Python Bindings) Eugenio Bargiacchi, Diederik M. Roijers, Ann Nowé

ECML-PKDD 2020 Deep Reinforcement Learning for Large-Scale Epidemic Control Pieter J. K. Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé

ECML-PKDD 2020 Interactive Multi-Objective Reinforcement Learning in Multi-Armed Bandits with Gaussian Process Utility Models Diederik M. Roijers, Luisa M. Zintgraf, Pieter Libin, Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé

ICML 2019 Dynamic Weights in Multi-Objective Deep Reinforcement Learning Axel Abels, Diederik Roijers, Tom Lenaerts, Ann Nowé, Denis Steckelmacher

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

ECML-PKDD 2019 Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé

AAAI 2018 Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé

ICML 2018 Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems Eugenio Bargiacchi, Timothy Verstraeten, Diederik Roijers, Ann Nowé, Hado Hasselt

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 2017 Coordinating Human and Agent Behavior in Collective-Risk Scenarios Elias Fernández Domingos, Juan-Carlos Burguillo, Ann Nowé, Tom Lenaerts

IJCAI 2016 Towards a White Box Approach to Automated Algorithm Design Steven Adriaensen, Ann Nowé

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

IJCAI 2015 Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic Sofie De Clercq, Steven Schockaert, Ann Nowé, Martine De Cock

IJCAI 2015 Reinforcement Learning from Demonstration Through Shaping Tim Brys, Anna Harutyunyan, Halit Bener Suay, Sonia Chernova, Matthew E. Taylor, Ann Nowé

AAAI 2014 Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence Tim Brys, Ann Nowé, Daniel Kudenko, Matthew E. Taylor

JMLR 2014 Multi-Objective Reinforcement Learning Using Sets of Pareto Dominating Policies Kristof Van Moffaert, Ann Nowé

AAAI 2014 Reinforcement Learning on Multiple Correlated Signals Tim Brys, Ann Nowé

AAAI 2012 Improving Convergence of CMA-ES Through Structure-Driven Discrete Recombination Tim Brys, Ann Nowé

ECML-PKDD 2003 Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-Agent Systems Karl Tuyls, Dries Heytens, Ann Nowé, Bernard Manderick

ECML-PKDD 2001 Social Agents Playing a Periodical Policy Ann Nowé, Johan Parent, Katja Verbeeck