The lectures will take place in AU 206 and the practicals (and Thu/Fri project) will be held in MP 103.
Location: View map
MON 12.8 | TUE 13.8 | WED 14.8 | THU 15.8 | FRI 16.8 | |
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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 |