Raphaël Avalos

16 papers A* 1A 2Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep SPI: Safe Policy Improvement via World Models. CoRR Florent Delgrange, Raphaël Avalos, Willem Röpke
2025	J	`jnl`	Inclusive Fitness as a Key Step Towards More Advanced Social Behaviors in Multi-Agent Reinforcement Learning Settings. CoRR Andries Rosseau, Raphaël Avalos, Ann Nowé
2025	J	`jnl`	Sample, Predict, then Proceed: Self-Verification Sampling for Tool Use of LLMs. CoRR Shangmin Guo, Omar Darwiche Domingues, Raphaël Avalos, Aaron C. Courville, Florian Strub
2025	J	`jnl`	ShiQ: Bringing back Bellman to LLMs. CoRR Pierre Clavier, Nathan Grinsztajn, Raphaël Avalos, Yannis Flet-Berliac, Irem Ergün, Omar Darwiche Domingues, Eugene Tarassov, Olivier Pietquin, Pierre H. Richemond, Florian Strub, Matthieu Geist
2024	J	`jnl`	Dynamic Size Message Scheduling for Multi-Agent Communication Under Limited Bandwidth. IEEE Trans. Mob. Comput. Qingshuang Sun, Denis Steckelmacher, Yuan Yao, Ann Nowé, Raphaël Avalos
2024	J	`jnl`	Laser Learning Environment: A new environment for coordination-critical multi-agent tasks. CoRR Yannick Molinghen, Raphaël Avalos, Mark Van Achter, Ann Nowé, Tom Lenaerts
2024	J	`jnl`	Online Planning in POMDPs with State-Requests. RLJ Raphaël Avalos, Eugenio Bargiacchi, Ann Nowé, Diederik M. Roijers, Frans A. Oliehoek
2024	J	`jnl`	Online Planning in POMDPs with State-Requests. CoRR Raphaël Avalos, Eugenio Bargiacchi, Ann Nowé, Diederik M. Roijers, Frans A. Oliehoek
2024	A*	`conf`	The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models. ICLR Raphaël Avalos, Florent Delgrange, Ann Nowé, Guillermo A. Pérez, Diederik M. Roijers
2023	J	`jnl`	Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth. CoRR Qingshuang Sun, Denis Steckelmacher, Yuan Yao, Ann Nowé, Raphaël Avalos
2023	—	`conf`	Laser Learning Environment: A New Environment for Coordination-Critical Multi-agent Tasks. BNAIC/BENELEARN Yannick Molinghen, Raphaël Avalos, Mark Van Achter, Ann Nowé, Tom Lenaerts
2023	J	`jnl`	Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs. Trans. Mach. Learn. Res. Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers
2023	J	`jnl`	The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models. CoRR Raphaël Avalos, Florent Delgrange, Ann Nowé, Guillermo A. Pérez, Diederik M. Roijers
2022	A	`conf`	Exploration and Communication for Partially Observable Collaborative Multi-Agent Reinforcement Learning. AAMAS Raphaël Avalos
2022	A	`conf`	Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning. AAMAS Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers
2021	J	`jnl`	Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning. CoRR Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers