This paper debuts a novel application of speech recognition to foreign language learning. We present a generic framework for developing user-customizable card games designed to ai...
Graph-based formalisms of quantum computation provide an abstract and symbolic way to represent and simulate computations. However, manual manipulation of such graphs is slow and e...
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
While customizable processors aim at combining the flexibility of general purpose processors with the speed and power advantages of custom circuits, commercially available process...
Current commercial AI middleware are still far from being a generic and flexible tool for developing computer games. Also the literature lacks proposals in this field. In this w...