The lectures will take place in AU 206 and the practicals (and Thu/Fri project) will be held in MP 103.

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  MON 12.8 TUE 13.8 WED 14.8 THU 15.8 FRI 16.8
9:00 - 9:45   Hautamäki: Introduction to Reinforcement Learning Hautamäki: Deep Reinforcement Learning Project Project
9:50 - 10:35 Kinnunen & Hautamäki: Introduction Hautamäki: Introduction to Reinforcement Learning Hautamäki: Deep Reinforcement Learning Project Project
10:35 - 10:50 Coffee break Coffee break Coffee break Coffee break Coffee break
10:50 - 11:35 Kinnunen: Machine learning basics Abraham: Reinforcement Learning Algorithms Ali: Deep Reinforcement Learning for Robotics Project Project
11:40 - 12.25 Hautamäki: DL Basics I: Convolutional and Recurrent networks. Abraham: Reinforcement Learning Algorithms Ali: Deep Reinforcement Learning for Robotics Project Project
12:25 - 13:30 Lunch break Lunch break Lunch break Lunch break Lunch break
13:30 - 14:15 Hautamäki: DL Basics II: Generative adversarial networks (GANs) and Variational autoencoders (VAE) Practicals Practicals Project Project
14:20 - 15:05 DL Practicals Practicals Practicals Project Project
15:05 - 15:20 Break Break Break Coffee break Coffee break
15:20 - 16:05 DL Practicals Practicals Practicals Project Project
16:10 - 16:55 DL Practicals Practicals Practicals Project Project