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...
Geospatial data-sets are becoming commonplace in many application domains, especially in the area of decision-making. Current state-of-the-art in geospatial systems either lack the...