| 2026 | ICCS | Personalized Next-Basket Recommendation with Interpretable Cycle-Aware Purchase Modeling. | Fatemeh Fazaeefar, Paolo Speziali, Szymon Bobek, Grzegorz J. Nalepa, Diederik M. Roijers, Ann Now, Mehrdad Asadi |
| 2026 | ICCS | Counterfactual User Guidance for Improving Transparent Hyperparameter Tuning. | Sabri Manai, Szymon Bobek, Mehrdad Asadi, Ann Now, Grzegorz J. Nalepa |
| 2025 | GECCO | Congestion-Aware Multi-Agent Path Planning for Pick-Up and Delivery Tasks. | Mehrdad Asadi, Ann Now, Javad Ghofrani |
| 2025 | GECCO | Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary Swarms. | Mehrdad Asadi, Roxana Radulescu, Ann Now |
| 2025 | ICINCO | Reinforcement Learning for Model-Free Control of a Cooling Network with Uncertain Future Demands. | Jeroen Willems, Denis Steckelmacher, Wouter Scholte, Bruno Depraetere, Edward Kikken, Abdellatif Bey-Temsamani, Ann Now |
| 2024 | ICLR | The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models. | Raphal Avalos, Florent Delgrange, Ann Now, Guillermo A. Prez, Diederik M. Roijers |
| 2024 | ICTAI | A Systematic Analysis of Deep Learning Algorithms in High-Dimensional Data Regimes of Limited Size. | Simon Jaxy, Ann Now, Pieter Libin |
| 2023 | ICLR | Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees. | Florent Delgrange, Ann Now, Guillermo A. Prez |
| 2023 | ICML | Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making. | Axel Abels, Tom Lenaerts, Vito Trianni, Ann Now |
| 2023 | IJCAI | Distributional Multi-Objective Decision Making. | Willem Rpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Now, Diederik M. Roijers |
| 2022 | AAAI | Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes. | Florent Delgrange, Ann Now, Guillermo A. Prez |
| 2022 | GECCO | Natural gradient evolution strategies for adaptive sampling. | Nixon K. Ronoh, Edna Milgo, Ambrose K. Kiprop, Bernard Manderick, Ann Now |
| 2020 | ECAI | Fleet Control Using Coregionalized Gaussian Process Policy Iteration. | Timothy Verstraeten, Pieter J. K. Libin, Ann Now |
| 2020 | ICCCI | Collective Decision-Making as a Contextual Multi-armed Bandit Problem. | Axel Abels, Tom Lenaerts, Vito Trianni, Ann Now |
| 2020 | ICCCI | How Expert Confidence Can Improve Collective Decision-Making in Contextual Multi-Armed Bandit Problems. | Axel Abels, Tom Lenaerts, Vito Trianni, Ann Now |
| 2019 | ESANN | Deep hybrid approach for 3D plane segmentation. | Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Now |
| 2019 | ICANN | A Multi-objective Reinforcement Learning Algorithm for JSSP. | Beatriz M. Mndez-Hernndez, Erick D. Rodrguez Bazan, Yailen Martnez-Jimnez, Pieter Libin, Ann Now |
| 2019 | ICML | Dynamic Weights in Multi-Objective Deep Reinforcement Learning. | Axel Abels, Diederik M. Roijers, Tom Lenaerts, Ann Now, Denis Steckelmacher |
| 2019 | ICML | Per-Decision Option Discounting. | Anna Harutyunyan, Peter Vrancx, Philippe Hamel, Ann Now, Doina Precup |
| 2019 | IJCNN | Synaptic Learning of Long-Term Cognitive Networks with Inputs. | Richar Sosa, Alejandro Alfonso, Gonzalo Npoles, Rafael Bello, Koen Vanhoof, Ann Now |
| 2019 | ICTAI | Bayesian Anytime m-top Exploration. | Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Now |
| 2018 | AAAI | Learning With Options That Terminate Off-Policy. | Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Now |
| 2018 | AAAI | 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 Now |
| 2018 | AAAI | Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets. | Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hlne Plisnier, Ann Now |
| 2018 | ICML | Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems. | Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Now, Hado van Hasselt |
| 2018 | ICTAI | IPC-Net: 3D Point-Cloud Segmentation Using Deep Inter-Point Convolutional Layers. | Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Now |
| 2017 | AAAI | Coordinating Human and Agent Behavior in Collective-Risk Scenarios. | Elias Fernndez Domingos, Juan-Carlos Burguillo, Ann Now, Tom Lenaerts |
| 2016 | CEC | Case study: An analysis of accidental complexity in a state-of-the-art hyper-heuristic for HyFlex. | Steven Adriaensen, Ann Now |
| 2016 | ECAI | Formalizing Commitment-Based Deals in Boolean Games. | Sofie De Clercq, Steven Schockaert, Ann Now, Martine De Cock |
| 2016 | ICCS | Enhancing Particle Swarm Optimization with Socio-cognitive Inspirations. | Iwan Bugajski, Piotr Listkiewicz, Aleksander Byrski, Marek Kisiel-Dorohinicki, Wojciech Korczynski, Tom Lenaerts, Dana Samson, Bipin Indurkhya, Ann Now |
| 2016 | IJCAI | Towards a White Box Approach to Automated Algorithm Design. | Steven Adriaensen, Ann Now |
| 2016 | PAAMS | Smart Grid Demonstration Platform for Renewable Energy Exchange. | Mihail Mihaylov, Ivn S. Razo-Zapata, Roxana Radulescu, Sergio Jurado, Narcs Avellana, Ann Now |
| 2015 | AAAI | Expressing Arbitrary Reward Functions as Potential-Based Advice. | Anna Harutyunyan, Sam Devlin, Peter Vrancx, Ann Now |
| 2015 | CEC | A benchmark set extension and comparative study for the HyFlex framework. | Steven Adriaensen, Gabriela Ochoa, Ann Now |
| 2015 | CEC | Risk-sensitivity through multi-objective reinforcement learning. | Kristof Van Moffaert, Tim Brys, Ann Now |
| 2015 | CEC | Online Distributed Voltage Control of an offshore MTdc network using reinforcement learning. | S. Rodrigues, Rodrigo Teixeira Pinto, Pavol Bauer, Tim Brys, Ann Now |
| 2015 | IJCAI | Reinforcement Learning from Demonstration through Shaping. | Tim Brys, Anna Harutyunyan, Halit Bener Suay, Sonia Chernova, Matthew E. Taylor, Ann Now |
| 2015 | IJCAI | Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic. | Sofie De Clercq, Steven Schockaert, Ann Now, Martine De Cock |
| 2014 | AAAI | Reinforcement Learning on Multiple Correlated Signals. | Tim Brys, Ann Now |
| 2014 | AAAI | Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence. | Tim Brys, Ann Now, Daniel Kudenko, Matthew E. Taylor |
| 2014 | CEC | Designing reusable metaheuristic methods: A semi-automated approach. | Steven Adriaensen, Tim Brys, Ann Now |
| 2014 | ECAI | Using Ensemble Techniques and Multi-Objectivization to Solve Reinforcement Learning Problems. | Tim Brys, Matthew E. Taylor, Ann Now |
| 2014 | ECAI | Off-Policy Shaping Ensembles in Reinforcement Learning. | Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Now |
| 2014 | GECCO | Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic. | Steven Adriaensen, Tim Brys, Ann Now |
| 2014 | ICAART | Decentralized Computation of Pareto Optimal Pure Nash Equilibria of Boolean Games with Privacy Concerns . | Sofie De Clercq, Kim Bauters, Steven Schockaert, Mihail Mihaylov, Martine De Cock, Ann Now |
| 2014 | IJCNN | Multi-objectivization of reinforcement learning problems by reward shaping. | Tim Brys, Anna Harutyunyan, Peter Vrancx, Matthew E. Taylor, Daniel Kudenko, Ann Now |
| 2014 | IJCNN | Scalarization based Pareto optimal set of arms identification algorithms. | Madalina M. Drugan, Ann Now |
| 2014 | IJCNN | A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning. | Kristof Van Moffaert, Tim Brys, Arjun Chandra, Lukas Esterle, Peter R. Lewis, Ann Now |
| 2014 | IJCNN | Multi-objective χ-Armed bandits. | Kristof Van Moffaert, Kevin Van Vaerenbergh, Peter Vrancx, Ann Now |
| 2014 | JELIA | Possibilistic Boolean Games: Strategic Reasoning under Incomplete Information. | Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Now |
| 2014 | KR | Using Answer Set Programming for Solving Boolean Games. | Sofie De Clercq, Kim Bauters, Steven Schockaert, Martine De Cock, Ann Now |
| 2013 | CEC | Meta-Evolutionary Algorithms and recombination operators for satisfiability solving in fuzzy logics. | Tim Brys, Madalina M. Drugan, Ann Now |
| 2013 | EMO | Hypervolume-Based Multi-Objective Reinforcement Learning. | Kristof Van Moffaert, Madalina M. Drugan, Ann Now |
| 2013 | GECCO | Solving satisfiability in fuzzy logics by mixing CMA-ES. | Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Now |
| 2013 | ICAART | Reinforcement Learning for Multi-purpose Schedules. | Kristof Van Moffaert, Yann-Michal De Hauwere, Peter Vrancx, Ann Now |
| 2013 | ICMLA | On the Behaviour of Scalarization Methods for the Engagement of a Wet Clutch. | Tim Brys, Kristof Van Moffaert, Kevin Van Vaerenbergh, Ann Now |
| 2013 | IJCNN | Designing multi-objective multi-armed bandits algorithms: A study. | Madalina M. Drugan, Ann Now |
| 2013 | LANMAN | Networks as a tool to save energy while keeping up general user comfort in buildings. | Yann-Michal De Hauwere, Kristof Van Moffaert, Paul-Armand Verhaegen, Ann Now |
| 2012 | AAAI | Improving Convergence of CMA-ES Through Structure-Driven Discrete Recombination. | Tim Brys, Ann Now |
| 2012 | AAAI | Learning Conflicts from Experience. | Yann-Michal De Hauwere, Ann Now |
| 2012 | AAMAS | An RL approach to common-interest continuous action games. | Abdel Rodrguez, Peter Vrancx, Ricardo Grau balo, Ann Now |
| 2012 | IJCNN | Improving wet clutch engagement with reinforcement learning. | Kevin Van Vaerenbergh, Abdel Rodrguez, Matteo Gagliolo, Peter Vrancx, Ann Now, Julian Stoev, Stijn Goossens, Gregory Pinte, Wim Symens |
| 2012 | IGARSS | Local linear spectral unmixing via cluster analysis and non-negative matrix factorization for hyperspectral (CHRIS/PROBA) imagery. | Cosmin Lazar, Luca Demarchi, David Steenhoff, Jonathan Cheung-Wai Chan, Ann Now, Hichem Sahli |
| 2012 | RecSys | Insights on Social Recommender Systems. | Wolney Leal De Mello Neto, Ann Now |
| 2011 | EUMAS | Local Coordination in Online Distributed Constraint Optimization Problems. | Tim Brys, Yann-Michal De Hauwere, Ann Now, Peter Vrancx |
| 2011 | ICAART | Adaptive State Representations for Multi-agent Reinforcement Learning. | Yann-Michal De Hauwere, Peter Vrancx, Ann Now |
| 2011 | ICAART | Self-organizing Synchronicity and Desynchronicity using Reinforcement Learning. | Mihail Mihaylov, Yann-Al Le Borgne, Ann Now, Karl Tuyls |
| 2011 | ICAART | Reinforcement Learning for Self-organizing Wake-Up Scheduling in Wireless Sensor Networks. | Mihail Mihaylov, Yann-Al Le Borgne, Karl Tuyls, Ann Now |
| 2011 | ICAART | Continuous Action Reinforcement Learning Automata - Performance and Convergence. | Abdel Rodrguez, Ricardo Grau balo, Ann Now |
| 2011 | ICAART | Transfer Learning for Multi-agent Coordination. | Peter Vrancx, Yann-Michal De Hauwere, Ann Now |
| 2011 | LANMAN | Learning a pricing strategy in multi-domain DWDM networks. | Pasquale Gurzi, Kris Steenhaut, Ann Now, Peter Vrancx |
| 2010 | WiOpt | Lifetime optimization for wireless sensor networks with correlated data gathering. | Nashat Abughalieh, Yann-Al Le Borgne, Kris Steenhaut, Ann Now |
| 2009 | CEC | The coevolution of loyalty and cooperation. | Sven Van Segbroeck, Francisco C. Santos, Ann Now, Jorge M. Pacheco, Tom Lenaerts |
| 2009 | DSD | Power Aware Fulfilment of Latency Requirements by Exploiting Heterogeneity in Wireless Sensor and Actuator Networks. | Joris Borms, Kris Steenhaut, Bart Lemmens, Ann Now |
| 2009 | IWANN | Multi-colony ACO and Rough Set Theory to Distributed Feature Selection Problem. | Yudel Gmez, Rafael Bello, Ann Now, Enrique Casanovas, Jonatan Taminau |
| 2008 | CISIS | An Efficient Distributed Self-Organizing Routing Algorithm for Wireless Sensor Networks. | Hugues Smeets, Kris Steenhaut, Ann Now |
| 2008 | KES | Using Generalized Learning Automata for State Space Aggregation in MAS. | Yann-Michal De Hauwere, Peter Vrancx, Ann Now |
| 2008 | KES | A Learning Automata Approach to Multi-agent Policy Gradient Learning. | Maarten Peeters, Ville Knnen, Katja Verbeeck, Ann Now |
| 2008 | KES | Coordinated Exploration in Conflicting Multi-stage Games. | Maarten Peeters, Ville Knnen, Katja Verbeeck, Sven Van Segbroeck, Ann Now |
| 2007 | AAMAS | Bee Behaviour in Multi-agent Systems. | Nyree Lemmens, Steven de Jong, Karl Tuyls, Ann Now |
| 2007 | AAMAS | Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrap. | Maarten Peeters, Katja Verbeeck, Ann Now |
| 2007 | AAMAS | Networks of Learning Automata and Limiting Games. | Peter Vrancx, Katja Verbeeck, Ann Now |
| 2007 | CIARP | Two-Stage ACO to Solve the Job Shop Scheduling Problem. | Amilkar Puris, Rafael Bello, Yaima Trujillo, Ann Now, Yailen Martnez-Jimnez |
| 2007 | ISDA | Two-Step Particle Swarm Optimization to Solve the Feature Selection Problem. | Rafael Bello, Yudel Gmez, Mara M. Garca, Ann Now |
| 2007 | IWINAC | Two-Stage Ant Colony Optimization for Solving the Traveling Salesman Problem. | Amilkar Puris, Rafael Bello, Yailen Martnez-Jimnez, Ann Now |
| 2007 | KES | Optimal Convergence in Multi-Agent MDPs. | Peter Vrancx, Katja Verbeeck, Ann Now |
| 2007 | LANMAN | QoS in GMPLS based IP/DWDM Metro Networks. | Walter Colitti, Kris Steenhaut, Ann Now |
| 2006 | CIARP | Two Step Ant Colony System to Solve the Feature Selection Problem. | Rafael Bello, Amilkar Puris, Ann Now, Yailen Martnez-Jimnez, Mara M. Garca |
| 2006 | EUMAS | Learning Automata as a Basis for Multi Agent Reinforcement Learning. | Ann Now, Katja Verbeeck, Maarten Peeters |
| 2006 | SYNASC | A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality. | Yaile Caballero, Rafael Bello, Alberto Taboada-Crisp, Ann Now, Mara M. Garca, Gladys Casas |
| 2005 | AAMAS | Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games. | Katja Verbeeck, Ann Now, Maarten Peeters, Karl Tuyls |
| 2005 | CEC | Linear genetic programming using a compressed genotype representation. | Johan Parent, Ann Now, Kris Steenhaut, Anne Defaweux |
| 2005 | EUMAS | Multi-type ACO for light path protection. | Peter Vrancx, Ann Now, Kris Steenhaut |
| 2005 | EWSN | High-density wireless sensor networks: a new clustering approach for prediction-based monitoring. | Pieter Beyens, Ann Now, Kris Steenhaut |
| 2005 | GECCO | A model based on ant colony system and rough set theory to feature selection. | Rafael Bello, Ann Now, Yaile Caballero, Yudel Gmez, Peter Vrancx |
| 2002 | GECCO | Evolving Compression Preprocessors With Genetic Programming. | Johan Parent, Ann Now |
| 1998 | SMC | Q-learning for adaptive load based routing. | Ann Now, Kris Steenhaut, Mohamed Fakir, Katja Verbeeck |