Raphael Avalos

Raphael Avalos

PhD Candidate



Hello! I am a PhD student at the AI LAB of the VUB (University of Brussels) under the supervision of Ann Nowe and Diederik Roijers. My research focuses mostly on collaborative multi-agent reinforcement learning with the goal of learning better and most robust policies that can be ultimately deployed in the real world. During my PhD I plan to target this problem by learning how the agents can communicate in a possibly limited bandwidth setting, and by developing new exploration strategies. I am also working on partially observable single-agent RL, multi-agent bandits and genetic inspired evolution. Fell free to contact me !

Download my resumé.

  • Artificial Intelligence
  • Reinforcement Learning
  • Partially Observable
  • Multi-Agent
  • Collaboration
  • Communication
  • Exploration
  • VAE
  • MSc in Applied Mathematics for AI, 2019

    Ecole Normale Superieur de Cachan

  • MSE in Computer Science, 2019

    Telecom Paris


Vrije Universiteit Brussel (VUB) - AI Lab - FWO
PhD Candidate
May 2020 – Present Brussels, Belgium
PhD supervised by Prof. Ann Nowe and Dr. Diederik Roijers.
Vrije Universiteit Brussel (VUB) - AI Lab
Research Intern
Jan 2020 – Apr 2020 Brussels, Belgium
Working on Multi-agent Reinforcement Learning under the supervision of Prof. Ann Nowe.
INRIA - SequeL Team (now Scool)
Research Intern
Apr 2019 – Oct 2019 Lille, France
Worked on Hierarchical Reinforcement Learning (HRL) applied to the Rubik’s Cube under the supervision Dr. Florian Strub and Prof. Philippe Preux.


PhD Fellowship fundamental research

Publications Conference

Publications Workshop

(2022). Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs. EWRL 2022.

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(2022). Autocurricula and Emergent Sociality from a Gene Perspective. ALA 2022 (AAMAS Workshop).

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(2022). Multi-agent RMax for Multi-Agent Multi-Armed Bandits. ALA 2022 (AAMAS Workshop).

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