DeepLorIA is an internal network for sharing knowledge about artificial intelligence, whatever the field of application. It is open to all Loria’s teams that use AI in their research.
Next DeepLorIA tutorial will take place on September 17th from 2 to 4 pm in room A008, with Franco Terranova (Resist team).
Meta-Reinforcement Learning: Boosting RL Generalization
Reinforcement Learning (RL) enables agents to learn optimal behaviors through trial and error but often struggles to generalize to new situations. Meta-Reinforcement Learning (Meta-RL) addresses this limitation by leveraging prior experience to help agents adapt more quickly to novel tasks. This tutorial will cover the fundamentals of deep RL and meta-learning, including an introduction to MAML applied to RL. The hands-on session will use a grid environment to explore how policies trained on a single environment, with domain randomization, or via meta-learning respond to environmental perturbations.
Schedule: Theory 14:00 – 14:50 / Coffee Break 14:50 – 15:10 / Lab 15:10 – 16:00
