Hierarchy Through Composition with Multitask LMDPs

Andrew M. Saxe, Adam Christopher Earle, Benjamin Rosman

Abstract: Hierarchical architectures are critical to the scalability of reinforcement learning methods. Most current hierarchical frameworks execute actions serially, with macro-actions comprising sequences ...