We invite you to lectures by leading AI researcher Michal Valko. The event is open to the public, and no registration is required.
February 24, 2025: World Discovery Models
When: 15:00 - 17:00
Where: Lecture room DE300
February 25, 2025: Gamification of Large Language Models
When: 15:00 - 17:00
Where: Lecture room CD300
Michal is primarily interested in designing algorithms that would require as little human supervision as possible. That is why he is working on methods and settings that are able to deal with minimal feedback, such as deep reinforcement learning, bandit algorithms, self-supervised learning, or self play. Michal has recently worked on representation learning, word models and deep (reinforcement) learning algorithms that have some theoretical underpinning. e received his Ph.D. in 2011 from the University of Pittsburgh, before getting a tenure at Inria in 2012 and starting Google DeepMind Paris in 2018 with Rémi Munos. In 2024, he became the principal Llama engineer at Meta, building online reinforcement learning stack and research for Llama 3 and 4.
