Reinforcement learning techniques have been applied in a variety of contexts, ranging from playing games to natural language processing. However, RL methods have mainly been limited to non-physical domains. Controlling real world physical systems like robots through RL adds an extra complexity. In this talk, we will see how to make a real-world industrial robot learn to perform a task by using reinforcement learning.

Asad Ali Shahid,
Asad is currently working on a research project with Swiss AI Lab (IDSIA). He is a masters student in mechanical engineering at Politecnico di Milano. His research interests lie at the intersection of robotics and machine learning. In particular, he is interested in collaborative robots that work in close proximity with humans. Before, he studied
robotics at ETH Zurich.

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