2023
Conditional abstraction trees for sample-efficient reinforcement learning
UAI 2023poster
In many real-world problems, the learning agent needs to learn a problem’s abstractions and solution simultaneously. However, most such abstractions need to be designed and refined by hand for different problems and domains of application. This paper presents a novel top-down approach for constructi…