MIT 6.S094: Deep Reinforcement Learning
This is lecture 3 of course 6.S094: Deep Learning for Self-Driving Cars (2018 version). This class is free and open to everyone. It is an introduction to the practice of deep learning through the applied theme of building a self-driving car. OUTLINE: 0:00 - AI Pipeline from Sensors to Action 8:25 - Reinforcement Learning 23:50 - Deep Reinforcement Learning 36:00 - AlphaGo 41:50 - DeepTraffic 54:35 - Conclusion INFO: Slides: http://bit.ly/2HcI7Ns Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-dee... Playlist: https://goo.gl/SLCb1y CONNECT: If you enjoyed this video, please subscribe to this channel. AI Podcast: https://lexfridman.com/ai/ Show your support: / lexfridman LinkedIn: / lexfridman Twitter: / lexfridman Facebook: / lexfridman Instagram: / lexfridman Slack: https://deep-mit-slack.herokuapp.com LINKS: Playlist: https://goo.gl/SLCb1y Lecture 1: Deep Learning - • MIT 6.S094: Deep Learning Lecture 2: Self-Driving Cars - • MIT Self-Driving Cars (2018) Lecture 3: Deep Reinforcement Learning - • MIT 6.S094: Deep Reinforcement Learning Lecture 4: Computer Vision - • MIT 6.S094: Computer Vision Lecture 5: Deep Learning for Human Sensing - • MIT 6.S094: Deep Learning for Human Sensing Guest talk: Sacha Arnoud, Waymo - • Sacha Arnoud, Director of Engineering, Way... Guest talk: Emilio Frazolli, nuTonomy - • Emilio Frazzoli, CTO, nuTonomy - MIT Self-... Guest talk: Sterling Anderson, Aurora - • Sterling Anderson, Co-Founder, Aurora - MI... 2017: Guest talk: Sertac Karaman, MIT - • Sertac Karaman (MIT) on Motion Planning in... Guest talk: Chris Gerdes, Stanford - • Chris Gerdes (Stanford) on Technology, Pol...
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