In computing systems, trust is an expectation on the dynamic behavior of an agent; static analysis is a collection of techniques for establishing static bounds on the dynamic behav...
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...
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
This article shows how rational analysis can be used to minimize learning cost for a general class of statistical learning problems. We discuss the factors that influence learning...
In this paper we introduce the language Golog+HTNT I for specifying control using procedural and HTN-based constructs together with deadlines and time restrictions. Our language s...