Deep Reinforcement Learning: Real-World Applications

Topic: Deep Reinforcement Learning: Real-world Applications Time: Wednesday 14 December, 19:00 Place: Gulliver food court, 5th floor (metro: Palace Sportu) Entrance: Free and without registration Food & Drinks: available for a fee Format of the event: conversation club - no plenary speaker, everyone speaks :) Deep Reinforcement Learning has emerged as a central topic in Artificial Intelligence. AI agents use it to play games such as Super Mario Bros, Go, and Starcraft. In this second conversation club, we will stop playing games for a while, and brainstorm real-world products (MVP) based on Deep Reinforcement Learning. This brainstorming could help giving birth to new startups. People bringing real-world problems, from businesses, NGOs, or even their personal life, are especially welcome. However, any topic around artificial intelligence is welcome, the conversation is pretty informal. Suggestions: Videos: https://www.youtube.com/watch?v=e3Jy2vShroE https://www.youtube.com/watch?v=wBrwN4dS-DA Reading: Deep Reinforcement Learning: Pong from Pixels http://karpathy.github.io/2016/05/31/rl/ Demystifying Deep Reinforcement Learning https://www.nervanasys.com/demystifying-deep-reinforcement-learning/ Deep Reinforcement Learning: A Tutorial https://gym.openai.com/docs/rl Organizer: Mostafa Benhenda, founder of the artificial intelligence startups www.mindolia.com and www.showup.tech