Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
The monograph addresses three of the most significant challenges facing the United States: (1) How the US could remain globally competitive for decades, (2) How the United States c...
This paper reviews and integrates research that would be necessary to develop an AIED system able to detect and then appropriately react to an affective state of a learner. It addr...
Emmanuel G. Blanchard, Boris Volfson, Yuan-Jin Hon...
This paper reviews the current state of the art in highperformance reconfigurable computing (HPRC) from the perspective of EPCC, the high-performance computing centre at the Unive...
Robert Baxter, Stephen Booth, Mark Bull, Geoff Caw...
Transition systems are graphs and it is natural to consider their visual representation as a graph visualization problem. They also pose an interesting multidimensional visualizat...