Stig Bosmans
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Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System Open
Recent work in multi-agent reinforcement learning has investigated inter agent communication which is learned simultaneously with the action policy in order to improve the team reward. In this paper, we investigate independent Q-learning (…
Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency Open
The increase of Internet of Things devices and the rise of more computationally intense applications presents challenges for future Internet of Things architectures. We envision a future in which edge, fog, and cloud devices work together …
Cost-aware hybrid cloud scheduling of parameter sweep calculations using predictive algorithms Open
This paper investigates various techniques for scheduling the costs of parameter sweep calculations efficiently in a hybrid cloud environment. The combination of both a private and a public cloud environment integrates the advantages of be…
Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques Open
With the increase in Internet of Things devices and more decentralized architectures we see a new type of application gain importance, a type where local interactions between individual entities lead to a global emergent behavior, Emergent…