Скачать с ютуб An introduction to Reinforcement Learning в хорошем качестве

An introduction to Reinforcement Learning

This episode gives a general introduction into the field of Reinforcement Learning: High level description of the field Policy gradients Biggest challenges (sparse rewards, reward shaping, ...) This video forms the basis for a series on RL where I will dive much deeper into technical details of state-of-the-art methods for RL. Links: "Pong from Pixels - Karpathy": http://karpathy.github.io/2016/05/31/rl/ Concept networks for grasp & stack (Paper with heavy reward shaping): https://arxiv.org/abs/1709.06977 If you enjoy my videos, all support is super welcome!   / arxivinsights   If you have questions you would like to discuss with me personally, you can book a 1-on-1 video call through Pensight: https://pensight.com/x/xander-steenbr... ::Chapters:: 00:00 Intro 01:03 So what is Reinforcement Learning? 03:39 Learning without explicit examples 07:25 Main challenges when doing RL 15:04 Are the robots taking over now?