2nd International Reinforcement Learning Bootcamp

Description

Reinforcement Learning (RL) is a powerful paradigm within machine learning (ML) that lies at the forefront of artificial intelligence. It drives innovations across a range of domains, including robotics, autonomous systems, game playing, and complex decision-making algorithms.

However, translating a control problem into a well-defined Markov Decision Process (MDP) is a non-trivial task. Additional challenges often emerge during training, particularly related to stability, convergence, and the evaluation of learned policies.

Despite its significant potential, RL has seen limited deployment in real-world systems. This workshop is designed to help bridge that gap by lowering the barriers to practical application, aiming to make RL a more accessible and widely used tool in both research and industry.