Reinforcement and Deep Reinforcement Learning - Theory and Hands-On Lab for Setting Up a Training Environment
The tutorial begins with an introduction to reinforcement learning, covering key concepts such as agents, environments, and the learning process. It then delves into the growing use of deep learning for tackling complex, high-dimensional challenges for the task. In the hands-on section, the tutorial will guide participants through setting up a training environment using OpenAI Gym to develop deep reinforcement learning agents.
- Date: November 6, 2024
- Time: Theory: 14:00 - 15:00 / Lab 15:15 - 16:15
- Location: Nancy-Salle A008 Jean Legras
- Instructor: Franco Terranova, Ph.D. Candidate