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Online MLMU #9b: Reinforcement learning 1: deep Q networks – Michal Chovanec

Language of the talk: Slovak The meetup will be hosted online - using Google Meet platform. Syllabus of the talk:1. Reinforcement learning versus supervised learning2. 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. The whole talk is full of real examples of PyTorch integration and results. Reinforcement learning is a machine learning method, which ...