—This paper describes a new method to explore and discover within a large data set. We apply techniques from preference elicitation to automatically identify data elements that a...
Dynamic AOP has been identified as a useful technique to implement an auto-adaptive framework. To supplement this policies based upon EventCondition-Action rules are used to specif...
— In multi-robot systems, task allocation and coordination are two fundamental problems that share high synergy. Although multi-robot architectures typically separate them into d...
Pedro M. Shiroma, Maria Fernando Montenegro Campos
- This paper presents an optimal energy control scheme for a grid independent photovoltaic (PV) solar system consisting of a PV array, battery energy storage, and time varying load...
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....