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Reinforcement learning 1: deep Q networks

Syllabus of the talk (Michal Chovanec):
1. Reinforcement learning versus supervised learning
2. Deep Q Network (DQN) – why it’s naive NN not working
3. Advanced architectures: noisy DQN, duelling DQN, rainbow DQN, attention DQN and hands-on practices how to create a network architecture
4. Real examples (Atari, Super Mario, Doom 2) – how is network interacting with the given world.

19:00 4 November 2020 @ ONLINE, Google Meet platform

Register on meetup.com for more information on how to join the meeting.

Past Events


DAM Team

Bonka

Dobromila Danková

Designer

Student of the 2nd year of Physics at Faculty of Science, P. J. Šafárik University in Košice.

Katka

Katarína Lučivjanská

Organizer

Assistant professor in Mathematics at Faculty of Science, P. J. Šafárik University in Košice, specialized in Finance and Statistics.

Tonka

Antónia Matisová

Website Administrator

Student of the 5th year of Informatics at Faculty of Science, P. J. Šafárik University in Košice.

Jaro

Jaroslav Šupina

Organizer

Assistant professor in Mathematics at Faculty of Science, P. J. Šafárik University in Košice, specialized in Topology and Set Theory.


Experienced Speakers

Speakers at our events speak about topics they are passionate about. While featuring more advanced content, the talks are kept friendly to high school students.

Diverse Community

People of all ages join our meetups, starting from hight school students wishing to learn more, to senior developers working at local and global companies.

Interresting Topics

We focus on all topics relevant to data science and data analytics, such as statistics, classifications, artificial intelligence and sometimes even databases.


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