Reinforcement Learning Use Cases Workshop
Often the biggest challenge in realizing applied RL projects lies in identifying the right use cases.
Join us and discover exciting new RL use cases for your organization!
This workshop is jointly organized with Databooster, an Innosuisse powered Innovation Booster program.
No prior experience with RL is required.
17:30 Akim Borbuev: Examples of RL use cases in Energy Management
17:45 Claus Horn: Identifying RL use cases
17:50 Workshop: “Develop your own RL use case”, moderated by Jürg Meierhofer
18:30 Snacks & drinks
“Make Your Building Smart & Green through Deep Reinforcement Learning”
by Akim Borbuev
Akim Borbuev is a reinforcement learning engineer at BicTop, a consulting company, with locations in Boston, United States and Madrid, Spain, that specializes in AI, Machine Learning, Blockchain, ESG impact assessment, and System Dynamics. He received his MSc and PhD in Electrical Engineering from New York University (NYU) where he also worked as an adjunct professor before joining BicTop. His current research interests include the real-world applications of reinforcement learning, especially in finance and energy systems.
Claus Horn (ZHAW), Mark Rowan (Rowan Cognitive), Georg Russ (die Mobiliar)
SIT Academy, Heinrichstrasse 200, 8005 Zürich
Or you can join us online here.
Find more information on the meetup page here.