Planning in single-agent models like MDPs and POMDPs can be carried out by resorting to Q-value functions: a (near-) optimal Q-value function is computed in a recursive manner by ...
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
When arriving to Hong Kong from China, the first difficulty of the new arrival women of the grassroots class is usually environmental stress. Their socio-economic situations often...
We define and develop a solution approach for planning, scheduling and managing project efforts where there is significant uncertainty in the duration, resource requirements and o...
Abstract. One of the reasons for attending to agent technology is the evergrowing complexity of information systems and the increasing difficulty to foresee and plan for all potent...