Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature conv...
Role-based access control (RBAC) has attracted considerable research interest. However, the computational issues of RBAC models are yet to be thoroughly studied. In this paper, we...
The large number of rear end collisions due to driver inattention has been identified as a major automotive safety issue. In this paper, we describe a 3-phase vehicle tracking met...
This paper presents a new method of interactive refinement of a knowledge base. The first step of our method is a validation stage which checks the consistency and the completenes...
This paper experimentally evaluates multiagent learning algorithms playing repeated matrix games to maximize their cumulative return. Previous works assessed that Qlearning surpas...