The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
In model-based control, a planner uses a system description to create a plan that achieves production goals. The same model can be used by model-based diagnosis to indirectly infe...
Lukas Kuhn, Bob Price, Minh Binh Do, Juan Liu, Ron...
The objective of this paper is to suggest a systematic means by which the timing and focus of information technology policies can be used to optimize supply chain performance and ...
We present two user interfaces for the interactive control of dynamically-simulated characters. The first interface uses an ‘action palette’ and targets sports prototyping ap...
In this article we describe how the augmented reality and product design communities, which share the common interest of combining the real and the virtual, might learn from each ...
J. P. Djajadiningrat, Kees Overbeeke, Stephan Wens...