Maxence Faldor

PhD student at Imperial College London in the Adaptive and Intelligent Robotics lab

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I am interested in
  🧠 Artificial Intelligence
  ✨ Open-endedness
  🦾 Robotics
  🦎 Artificial Life
with a particular focus on learning to adapt to unforeseen situations in open-ended environments.

I am dedicated to breaking new ground in enabling robots to not just perform a task, but to acquire a breadth of general capabilities, mirroring the evolutionary adaptability found in nature. I also have interests in Metamathematics, Neuroscience and Consciousness.

Alongside my PhD studies, I teach both undergraduate and postgraduate students, Deep Learning, Mathematical Methods Tutorials and Python Programming, totaling 300 hours/year. My responsibilities include lecturing, conducting tutorials and workshops, developing and grading coursework, and managing modules.

I am also an organizer of the Imperial College Autonomous Reasoning & Learning (ICARL) seminar series

  • Each month, ICARL hosts a seminar series at Imperial College London, where we invite Artificial Intelligence researchers to give a presentation about their work.
  • I am responsible for the setup of the lecture theatre and technical equipment (microphones, video cameras, online meeting and so on) to ensure high-quality recordings for our YouTube channel.

Selected Publications

  1. scopa.gif
    Skill-Conditioned Policy Optimization with Successor Features Representations
    Maxence* Faldor, Luca* Grillotti, León Borja, and 1 more author
    In ALOE workshop at NeurIPS, 2023
  2. dcg_me_telo.png
    Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
    Maxence Faldor, Félix Chalumeau, Manon Flageat, and 1 more author
    In , 2023