Anyone interested in delving into reinforcement learning should check out our book https://www.manning.com/books/deep-reinforcement-learning-in... - we cover actor critic (used in this paper) to multi-agent to relational/attention models
Since you seem to be industry practitioners: I moved away from RL 10 yrs back disillusioned with lack of real-world applicability. Has that changed significantly? The only major name I’ve heard of is Vowpal Wabbit. Maybe there are more applications being done in stealth. Any insight? Thanks
However, I don’t think the current limited use of RL is a permanent situation just that the most exciting uses of RL are extremely difficult problems that involve long-time horizons and planning. For example, RL could be used to automatically prove mathematical theorems which would be amazing. But it’s a really hard problem for various reasons. Still a lot of progress to be made.
Looks like these two places are on the cusp of a major breakthrough in RL/robotics!