12 citations · 44 across the 41 of their papers we have counts for
4 papers · 1 filter
Communication-Enabled Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Unmanned aerial vehicles (UAVs) are increasingly deployed to provide wireless connectivity to static and mobile ground users in situations of increased network demand or points of…
Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Unmanned aerial vehicles serving as aerial base stations (UAV-BSs) can be deployed to provide wireless connectivity to ground devices in events of increased network demand, points-…
Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures
Stefano Bennati, Ivana Dusparic, Rhythima Shinde +1
Several smart city services rely on users contribution, e.g., data, which can be costly for the users in terms of privacy. High costs lead to reduced user participation, which unde…
Decentralised Multi-Agent Reinforcement Learning for Dynamic and Uncertain Environments
Andrei Marinescu, Ivana Dusparic, Adam Taylor +2
Multi-Agent Reinforcement Learning (MARL) is a widely used technique for optimization in decentralised control problems. However, most applications of MARL are in static environmen…