Publications

Raphael Avalos, Florent Delgrange, Ann Nowe, Guillermo Perez, Diederik M Roijers (2024). The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models. The Twelfth International Conference on Learning Representations.
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Raphael Avalos, Eugenio Bargiacchi, Ann Nowé, Diederik M Roijers, Frans a Oliehoek (2024). Online Planning in POMDPs with State-Requests. RLJ - Reinforcement Learning Journal.
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Qingshuang Sun, Denis Steckelmacher, Yuan Yao, Ann Nowe, Raphael Avalos (2024). Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth. IEEE Transactions on Mobile Computing.
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Raphael Avalos, Mathieu Reymond, Ann Nowe, Diederik M Roijers (2023). Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs. Transactions on Machine Learning Research.
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Yannick Molinghen, Raphael Avalos, Mark Van Achter, Ann Nowé, Tom Lenaerts (2023). Laser Learning Environment: A new environment for coordination-critical multi-agent tasks. The 35th Benelux Conference on Artificial Intelligence and the 32th Belgian Dutch Conference on Machine Learning.
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Andries Rosseau, Raphael Avalos, Ann Nowe (2022). Toward Evolutionary Autocurricula: Emergent Sociality from Inclusive Rewards. From Cells to Societies: Collective Learning across Scales.
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Eugenio Bargiacchi, Raphael Avalos, Timothy Verstraeten, Pieter Libin, Ann Nowé, Diederik M Roijers (2022). Multi-agent rmax for multi-agent multi-armed bandits. Proc. of Adaptive and Learning Agents Workshop (ALA) at AAMAS.
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Raphael Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers (2022). Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning. Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems.
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