In this paper, we formulate agent's decision process under the framework of Markov decision processes, and in particular, the multi-agent extension to Markov decision process...
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
Abstract. This paper describes a software architecture that allows image processing researchers to develop parallel applications in a transparent manner. The architecture’s main ...
Frank J. Seinstra, Dennis Koelma, Jan-Mark Geusebr...
Abstract. In the last few years, the semantics of Petri nets has been investigated in several different ways. Apart from the classical "token game", one can model the beh...
This paper proposes a model-driven, extensible platform, delivered on the Web, which is able to support long-distance collaboration of students’ teams working on complex projects...