We present an approach that uses Q-learning on individual robotic agents, for coordinating a missiontasked team of robots in a complex scenario. To reduce the size of the state sp...
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
This paper describes a Web-based English-Chinese concordance system, TotalRecall, developed to promote translation reuse and encourage authentic and idiomatic use in second langua...
Jian-Cheng Wu, Kevin C. Yeh, Thomas C. Chuang, Wen...
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
In this paper, we draw on evidence from a case study to explore how to enable organizational creativity within a centralised information system. We argue that, even if the project...