Hi there,

I am familiar with reinforcement learning and understand the concepts of value- and policy iteration and actor critic models and I think I also get the basics of case-based reasoning. But I recently came across case-based reinforcement learning which is applied in

Article Case-based myopic reinforcement learning for satisfying targ...

Article Sheng, Z.: Case-based Reinforcement Learning for Dynamic Inv...

and have problems understanding them in detail. How are they related to other reinforcement learning approaches (Q-learning, R-learning)?

Or are they an own category within reinforcement learning?

Thanks for your help!

Stefan

More Stefan Haeussler's questions See All
Similar questions and discussions