Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Abstract. Negotiation over resources and multi-agent planning are important issues in multi-agent systems research. It has been demonstrated [19] how symbolic negotiation and distr...
The design of cooperative multi-robot systems is a highly active research area in robotics. Two lines of research in particular have generated interest: the solution of large, wea...
Curt A. Bererton, Geoffrey J. Gordon, Sebastian Th...
This paper presents a novel method for optimizing sliding window based continuous queries. We deal with two categories of aggregation operations: stepwise aggregation (e.g. COUNT) ...
Enterprise Resource Planning (ERP) and related systems such as Supply Chain Management (SCM) and Customer Relationship Management (CRM) are incorporating decision support tools an...