In this paper, we describe solutions how pixel-based visualization techniques can support the decision making process for investors on the financial market. We especially focus o...
Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Vendor managed inventory replenishment is a business practice in which vendors monitor their customers' inventories, and decide when and how much inventory should be replenis...
Anton J. Kleywegt, Vijay S. Nori, Martin W. P. Sav...
We propose a principled account on multiclass spectral clustering. Given a discrete clustering formulation, we first solve a relaxed continuous optimization problem by eigendecomp...
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...