This paper is concerned with the problem of receding horizon control of discrete-time systems subject to possibly unbounded random noise inputs, while satisfying hard bounds on the...
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...
This paper describes an argumentation-based approach for automating the decision making process of an autonomous agent for pricing products. Product pricing usually involves differ...
Mandated requirements to share information across different sensitivity domains necessitate the design of distributed architectures to enforce information flow policies while pr...
Cynthia E. Irvine, Thuy D. Nguyen, David J. Shiffl...