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Rodriguez, Laura and Dusparic, Ivana and Cardozo, Nicolas, VAR Check: Quality Analysis of Reinforcement Learning Programs Using Voronoi Diagrams, SN Computer Science, 7, (2), 2026, p147 ,
Journal Article,
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Wang, Wenlong and Dusparic, Ivana and Shi, Yucheng and Zhang, Ke and Cahill, Vinny, Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient, International Conference on Learning Representations (ICLR) 2025, 2025,
Conference Paper,
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Gajcin, Jasmina and Jeromela, Jovan and Dusparic, Ivana, Towards Personalised and User-Friendly Counterfactual Sequences for Failure Correction, Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025, pp228--233 ,
Conference Paper,
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Rosero, Juan C and Dusparic, Ivana, Explainable Multi-Objective Reinforcement Learning: challenges and considerations, Multi-Objective Decision Making Workshop at ECAI 2025, 2025,
Conference Paper,
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Moustafa, Emran Yasser and Dusparic, Ivana, Context-Aware Model-Based Reinforcement Learning for Autonomous Racing, The 22nd International Conference on Advanced Robotics (ICAR 2025), 2025,
Conference Paper,
PUBLISHED
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McCarthy, James and Marinescu, Radu and Daly, Elizabeth and Dusparic, Ivana, Optimistic Exploration for Risk-Averse Constrained Reinforcement Learning, European Conference on Artificial Intelligence, 2025,
Conference Paper,
PUBLISHED
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de la Rosa, Raul and Dusparic, Ivana and Cardozo, Nicolas, Adapting the Behavior of Reinforcement Learning Agents to Changing Action Spaces and Reward Functions, 2025 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), 2025, pp148--153 ,
Conference Paper,
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Delacroix, Sylvie and Robinson, Diana and Bhatt, Umang and Domenicucci, Jacopo and Montgomery, Jessica and Varoquaux, Gael and Ek, Carl Henrik and Fortuin, Vincent and He, Yulan and Tom Diethe, Neill Campbell and others, Beyond Quantification: Navigating Uncertainty in Professional AI Systems, RSS: Data Science and Artificial Intelligence, 2025,
Journal Article,
PUBLISHED
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Tomar, Shivani and Tirupathi, Seshu and Daly, Elizabeth and Dusparic, Ivana, AT4TS : Autotune for Time Series Foundation Models, Transactions on Machine Learning Research (TMLR), 2025,
Journal Article,
PUBLISHED
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Shi, Yucheng and Wang, Wenlong and Tao, Xiaowen and Dusparic, Ivana and Cahill, Vinny, Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles, 2024, pp935 â" 942 ,
Notes: [Cited by: 0; All Open Access, Green Open Access],
Conference Paper,
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