2 papers
cs.AI2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
Peng Zhang, Jianye Hao, Weixun Wang +4
Reinforcement learning agents usually learn from scratch, which requires a large number of interactions with the environment. This is quite different from the learning process of h…
cs.SE2018
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning
Takumi Akazaki, Shuang Liu, Yoriyuki Yamagata +2
With the rapid development of software and distributed computing, Cyber-Physical Systems (CPS) are widely adopted in many application areas, e.g., smart grid, autonomous automobile…