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
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?