4 ms·
There are a lot of online methods for reinforcement learning, and one could argue that reinforcement learning is doing exactly what you want for outlier detecti
by cbsmith 11y ago
There are a lot of online methods for reinforcement learning, and one could argue that reinforcement learning is doing exactly what you want for outlier detection: doing a cost benefit analysis of the value of exploring a given context in more or less detail.
Have you guys thought at all about adapting a reinforcement learning model for building an online model to detect outliers?
- diab0lic 11y agoWe have, specifically in the domain of using RL for parameter selection. Part of the reason I was brought on board was background experience in RL. I fully believe it's the key to turning domain (yes/no) decisions into numbers for our algorithms to ingest. Ultimately we would like all of our systems to use RL to interpret user feedback to determine parameters, actions, etc... Brilliant question by the way!
- cbsmith 11y agoBrilliant answer. :-) Sounds like you guys have thought this through really well.