Recently, I gave a talk at the O’Reilly AI conference in Beijing about some of the interesting lessons we’ve learned in the world of NLP. While there, I was lucky enough to attend a tutorial on Deep Reinforcement Learning (Deep RL) from scratch by Unity Technologies. I thought that the session, led by Arthur Juliani, was extremely informative and wanted to share … [Read more...] about Reinforcement Learning From Scratch
Reinforcement Learning
Beyond DQN/A3C: A Survey in Advanced Reinforcement Learning
One of my favorite things about deep reinforcement learning is that, unlike supervised learning, it really, really doesn’t want to work. Throwing a neural net at a computer vision problem might get you 80% of the way there. Throwing a neural net at an RL problem will probably blow something up in front of your face — and it will blow up in a different way … [Read more...] about Beyond DQN/A3C: A Survey in Advanced Reinforcement Learning
What Are Major Reinforcement Learning Achievements & Papers From 2018?
UPDATE: We've also summarized the top 2019 Reinforcement Learning research papers. At a 2017 O'Reilly AI conference, Andrew Ng ranked reinforcement learning dead last in terms of its utility for business applications. Compared to other machine learning methods like supervised learning, transfer learning, and even unsupervised learning, deep reinforcement learning (RL) … [Read more...] about What Are Major Reinforcement Learning Achievements & Papers From 2018?