Transferring Expectations in Model-based Reinforcement Learning

no code implementations • NeurIPS 2012 • Trung Nguyen, Tomi Silander, Tze Y. Leong

We study how to automatically select and adapt multiple abstractions or representations of the world to support model-based reinforcement learning.

Model-based Reinforcement Learning reinforcement-learning +2