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11/09/2022
Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning
In this paper, we build on advances introduced by the Deep Q-Networks (D...
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03/20/2022
Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs
As wireless standards evolve, more complex functionalities are introduce...
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01/18/2022
Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network
Deep Reinforcement Learning (DRL) solutions are becoming pervasive at th...
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09/29/2021
Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning
Millions of sensors, cameras, meters, and other edge devices are deploye...
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11/19/2020
Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space
Millions of battery-powered sensors deployed for monitoring purposes in ...
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02/07/2019
