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. ICLR 2024.

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Yannick Molinghen, Raphael Avalos, Mark Van Achter, Ann Nowe, Tom Lenaerts (2023). Laser Learning Environment: A new environment for coordination-critical multi-agent tasks. BNAIC 2023.

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Raphael Avalos, Mathieu Reymond, Ann Nowe, Diederik M. Roijers (2022). Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs. TMLR.

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Raphael Avalos, Mathieu Reymond, Ann Nowe, Diederik M. Roijers (2022). Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs. EWRL 2022.

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Eugenio Bargiacchi, Raphael Avalos, Timothy Verstraeten, Pieter Libin, Ann Nowe, Diederik M. Roijers (2022). Multi-agent RMax for Multi-Agent Multi-Armed Bandits. ALA 2022 (AAMAS Workshop).

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Raphael Avalos, Mathieu Reymond, Ann Nowe, Diederik M. Roijers (2022). Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning. AAMAS 2022.

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Raphael Avalos (2022). Exploration and Communication for Partially Observable Collaborative Multi-Agent Reinforcement Learning. AAMAS 2022.

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Andries Rosseau, Raphael Avalos, Ann Nowe (2022). Autocurricula and Emergent Sociality from a Gene Perspective. ALA 2022 (AAMAS Workshop).

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Raphael Avalos (2019). An example preprint / working paper.

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Raphael Avalos, Florent Delgrange, Ann Nowe, Guillermo Perez, Diederik M. Roijers (2017). The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models. EWRL 2023.

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Qingshuang Sun, Denis Steckelmacher, Yuan Yao, Ann Nowe, Raphael Avalos (2017). Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth. Preprint.

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Raphael Avalos, Robert Ford (2015). An example journal article. Journal of Source Themes, 1(1).

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