Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
Creation of pedagogical learning models to handle the specificity of mobile learning and the inherent constraints of mobile devices is a fundamental challenge in mobile learning. ...
Keng Y. Yee, Wee Tiong Ang, Flora S. Tsai, Rajaram...
: Within the last few years, e-learning has become a focal point in several universities and organizations. While much research has been devoted to producing econtent, describing i...
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...