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Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning


Nov 09, 2022
Jernej Hribar, Luke Hackett, Ivana Dusparic

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Causal Counterfactuals for Improving the Robustness of Reinforcement Learning


Nov 02, 2022
Tom He, Jasmina Gajcin, Ivana Dusparic

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Boolean Decision Rules for Reinforcement Learning Policy Summarisation


Jul 18, 2022
James McCarthy, Rahul Nair, Elizabeth Daly, Radu Marinescu, Ivana Dusparic

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FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing


May 23, 2022
Helio N. Cunha Neto, Ivana Dusparic, Diogo M. F. Mattos, Natalia C. Fernandes

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Optimising Energy Efficiency in UAV-Assisted Networks using Deep Reinforcement Learning


Apr 04, 2022
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic

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* 5 pages, Submitted to for publication in the IEEE Wireless Communication Letters 

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ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning


Mar 21, 2022
Jasmina Gajcin, Ivana Dusparic

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* 18 pages, 4 tables, 4 figures 

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Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents


Dec 17, 2021
Jasmina Gajcin, Rahul Nair, Tejaswini Pedapati, Radu Marinescu, Elizabeth Daly, Ivana Dusparic

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* 7 pages, 3 figures 

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Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems


Dec 01, 2021
Alberto Castagna, Ivana Dusparic

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Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points


Nov 03, 2021
Boris Galkin, Babatunji Omoniwa, Ivana Dusparic

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Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning


Jun 01, 2021
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic

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* Submitted to IEEE Globecom SAC 2021, Spain 

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