## Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes

- Le Pham Tuyen, Ngo Anh Vien, Abu Layek, TaeChoong Chung
- 2018

Recent work has shown that Deep Q-Networks (DQNs) are capable of learning human-level control policies on a variety of different Atari 2600 games [1]. Other work has looked at treating the Atari problem as a partially observable Markov decision process (POMDP) by adding imperfect state information through image flickering [2]. However, these approaches… (More)