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Tuesday, May 21 • 11:30 - 12:30
Self – Driving cars through Imitation learning and Reinforcement learning

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Ever since the inception of ImageNet in 2012. AI and particularly deep learning gained a lot of traction. Many new deep learning techniques have emerged since then. These had profound implications for the state of the art in self – driving cars technology.
In this session we are going to do an introduction in to of the key concepts behind this technology. Particularly we designed a small self-driving car based on the DonkeyCar framework. This self driving car uses both Imitation learning and Reinforcement learning. Imitation learning is often used as the basis for reinforcement learning, as state of the art reinforcement learning is still takes a long time to converge.
We will walk you through the basic implementation of these ideas and by the end of this session you should be able to create your own self – driving – rc – car.

Speakers
avatar for Cédric Vandelaer

Cédric Vandelaer

Cédric is a technical software engineer at the enabling technologies department of Cegeka. He has done a lot of pet projects in the past, ranging from mobile development to utilizing distributed ledger technology (blockchain). For the last few years however, deep learning has been... Read More →
avatar for Nicky Eichmann

Nicky Eichmann

Nicky started his carrier in 2003 in a research environment where he did applied research for companies. After several years of developing distributed systems, custom domotics and drones, he made the switch to work in an enterprise where he was responsible for Microsoft Dynamics CRM... Read More →


Tuesday May 21, 2019 11:30 - 12:30
Room 10