5 citations · 7 across the 2 of their papers we have counts for
4 papers
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System
Simon Vanneste, Gauthier de Borrekens, Stig Bosmans +5
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 rew…
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning
Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste +4
By using communication between multiple agents in multi-agent environments, one can reduce the effects of partial observability by combining one agent's observation with that of ot…
Exploiting non-i.i.d. data towards more robust machine learning algorithms
Wim Casteels, Peter Hellinckx
In the field of machine learning there is a growing interest towards more robust and generalizable algorithms. This is for example important to bridge the gap between the environme…
Towards evaluating emergent behavior of the Internet of Things using large scale simulation techniques
Stig Bosmans, Siegfried Mercelis Peter Hellinckx, Joachim Denil
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 indiv…