This paper addresses the initial shift problem in iterative learning control with system relative degree. The tracking error caused by nonzero initial shift is detected when apply...
This paper considers conceptual and contextual issues relating to the problem of developing systems models capable of representing knowable and unknowable information requirements...
Motivated by the interest in relational reinforcement learning, we introduce a novel relational Bellman update operator called ReBel. It employs a constraint logic programming lan...
Kristian Kersting, Martijn Van Otterlo, Luc De Rae...
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Despite evidence that the majority of knowledge management (KM) initiatives miscarry, there has been a paucity of critical, in-depth research into the causes of failure. In this p...