Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
This paper examines the stability of the exible-object impedance controller when coupled to an arbitrary passive environment. A simple representative system is developed to study ...
Abstract. Cooperative Coevolution is a technique in the area of Evolutionary Computation. It has been applied to many combinatorial problems with great success. This contribution p...
This paper proposes an optimal approach to infinite-state action planning exploiting automata theory. State sets and actions are characterized by Presburger formulas and represent...
The development of scalable reasoning systems is one of the crucial factors determining the success of Semantic Web systems. Recently, in [GH06], an approach is proposed, which tac...