Gajcin, Jasmina and Dusparic, Ivana, ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies, https://arxiv.org/abs/2402.06503, 2024,
Journal Article,
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Gajcin, Jasmina and Dusparic, Ivana, Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities, ACM Computing Surveys, 2024,
Journal Article,
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Hribar, Jernej and Hackett, Luke and Dusparic, Ivana, Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning, International Conference on Agents and Artificial Intelligence (ICAART) 2023, 2023,
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Castagna, Alberto and Dusparic, Ivana, Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning, 26th European Conference on Artificial Intelligence ECAI 2023, 2023,
Conference Paper,
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Monteil, Jean-Baptiste and Iosifidis, George and Dusparic, Ivana, Reservation of Virtualized Resources with Optimistic Online Learning, IEEE International Conference on Communications (ICC) 2023, 2023,
Conference Paper,
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Cardozo, Nicolas and Dusparic, Ivana and Cabrera, Christian, Prevalence of Code Smells in Reinforcement Learning Projects, CAIN 2023 - 2nd International Conference on AI Engineering -- Software Engineering for AI, 2023, pphttps--arxiv ,
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Gajcin, Jasmina and McCarthy, James and Nair, Rahul, Marinescu, Radu and Daly, Elizabeth and Dusparic, Ivana, Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification, European Conference on Artificial Intelligence (ECAI), 2023,
Conference Paper,
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Fonseca, Erika and Galkin, Boris and Amer, Ramy and DaSilva, Luiz A and Dusparic, Ivana, Adaptive Height Optimisation for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach, IEEE Access, 11, 2023, p5966-5980 ,
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Neto, Helio N Cunha and Hribar, Jernej and Dusparic, Ivana and Mattos, Diogo MF and Fernandes, Natalia C, Securing Federated Learning: A Security Analysis on Applications, Attacks, Challenges, and Trends, IEEE Access, 2023,
Journal Article,
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Neto, Helio N Cunha and Hribar, Jernej and Dusparic, Ivana and Mattos, Diogo Menezes Ferrazani and Fernandes, Natalia C, A survey on securing federated learning: Analysis of applications, attacks, challenges, and trends, IEEE Access, 11, 2023, p41928--41953 ,
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