September 17-19, 2025 at PLUS University Salzburg
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.
Register NowOur bootcamp offers a unique opportunity to learn from experts in the field
Ideal for students, professionals, and enthusiasts with a basic understanding of machine learning who want to deepen their knowledge in reinforcement learning.
Learn theory and hands-on techniques from leading experts with real-world experience in applying RL to solve complex problems.
Stay ahead of the curve with lessons on the latest RL algorithms, tools, and best practices.
The stunning setting of Salzburg is meant to inspire your learning journey and fuel your creativity.
Learn from leaders in the field of Reinforcement Learning
The event is hosted by the IDA Lab (Smart Analytics and Reinforcement Learning team) at PLUS University of Salzburg, in collaboration with Fraunhofer Austria, AI Austria, ExtensityAI, JOANNEUM RESEARCH ROBOTICS and JOANNEUM RESEARCH DIGITAL. It is offered free of charge to ensure accessibility for all those interested in Reinforcement Learning. We are thrilled about our lineup of keynote speakers and eagerly anticipate their presentations!
Meet the team behind the 2nd Reinforcement Learning Bootcamp
Our event is made possible by support from these outstanding organizations