The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Abstract. In update logic the interpretation of an action is often assumed to be independent from the agents’ beliefs about the situation (see [BMS04] or [Auc05]). In this paper ...
Abstract. Agents interacting in a dynamically changing spatial environment often need to access the same spatial resources. A typical example is given by moving vehicles that meet ...
In this paper the distributed Constraint Satisfaction Ant Algorithm (CSAA) framework is presented. It uses an ant-based system for the distributed solving of constraint satisfacti...
A major advantage of service-based computing technology is the ability to enable rapid formation of large-scale distributed systems by composing massively available services to ac...
Stephen S. Yau, Yisheng Yao, Zhaoji Chen, Luping Z...