This paper is devoted to the optimization problem of continuous multipartitioning, or multi-labeling, which is based on a convex relaxation of the continuous Potts model. In contr...
Prediction is emerging as an essential ingredient for real-time monitoring, planning and decision support applications such as intrusion detection, e-commerce pricing and automate...
This paper presents results from on-going investigations into the performance of the Michiganstyle classifier system in a complex multi-agent environment. Using a simplified model...
Businesses often need to face the problem of providing incentives for employees to work together effectively on projects that develop over time. This paper derives the optimal con...
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...