Hierarchical Subtask Discovery With Non-Negative Matrix Factorization

no code implementations • ICLR 2018 • Adam C. Earle, Andrew M. Saxe, Benjamin Rosman

Hierarchical reinforcement learning methods offer a powerful means of planning flexible behavior in complicated domains.

Hierarchical Reinforcement Learning

Hierarchy Through Composition with Multitask LMDPs

no code implementations • ICML 2017 • Andrew M. Saxe, Adam C. Earle, Benjamin Rosman

Hierarchical architectures are critical to the scalability of reinforcement learning methods.

reinforcement-learning Reinforcement Learning (RL)