Hierarchical structure is a useful tool for providing the necessary scalability in adapting to the variety of channel environments. For schemes involving hierarchical picture struc...
Chan-Won Seo, Jung Won Kang, Jong-Ki Han, Truong Q...
In our previous paper [1], we formalized an active information fusion framework based on dynamic Bayesian networks to provide active information fusion. This paper focuses on a ce...
Abstract— Continuous action sets are used in many reinforcement learning (RL) applications in robot control since the control input is continuous. However, discrete action sets a...
Akihiko Yamaguchi, Jun Takamatsu, Tsukasa Ogasawar...
—This study attempts to make a compact humanoid robot acquire a giant-swing motion without any robotic models by using reinforcement learning; only the interaction with environme...
We present a modular approach to realizing fine-grained adaptation of program behavior in a parallel environment. Using a compositional framework based on function call intercepti...
Pilsung Kang 0002, Naresh K. C. Selvarasu, Naren R...