Ivana Dusparic

149 papers A* 1A 7B 12C 1Journal 74Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adapting the Behavior of Reinforcement Learning Agents to Changing Action Spaces and Reward Functions. CoRR Raúl de la Rosa, Ivana Dusparic, Nicolás Cardozo
2026	J	`jnl`	Balancing Multiple Objectives in Urban Traffic Control with Reinforcement Learning from AI Feedback. CoRR Chenyang Zhao, Vinny Cahill, Ivana Dusparic
2026	J	`jnl`	Geographically-aware Transformer-based Traffic Forecasting for Urban Motorway Digital Twins. CoRR Kresimir Kusic, Vinny Cahill, Ivana Dusparic
2026	J	`jnl`	Introduction to the Special Issue on Artificial Intelligence for Adaptive and Autonomous Cloud/Edge Computing Systems. ACM Trans. Auton. Adapt. Syst. Gabriele Russo Russo, Valeria Cardellini, Ivana Dusparic, Stefano Iannucci
2026	J	`jnl`	Shapelets-Enriched Selective Forecasting using Time Series Foundation Models. CoRR Shivani Tomar, Seshu Tirupathi, Elizabeth Daly, Ivana Dusparic
2026	J	`jnl`	TREX: Trajectory Explanations for Multi-Objective Reinforcement Learning. CoRR Dilina Rajapakse, Juan C. Rosero, Ivana Dusparic
2026	J	`jnl`	VAR Check: Quality Analysis of Reinforcement Learning Programs Using Voronoi Diagrams. SN Comput. Sci. Laura Rodriguez, Ivana Dusparic, Nicolás Cardozo
2025	J	`jnl`	AT4TS : Autotune for Time Series Foundation Models. Trans. Mach. Learn. Res. Shivani Tomar, Seshu Tirupathi, Radu Marinescu, Elizabeth M. Daly, Ivana Dusparic
2025	—	`conf`	Adapting the Behavior of Reinforcement Learning Agents to Changing Action Spaces and Reward Functions. ACSOS-C Raúl de la Rosa, Ivana Dusparic, Nicolás Cardozo
2025	J	`jnl`	Beyond Quantification: Navigating Uncertainty in Professional AI Systems. CoRR Sylvie Delacroix, Diana Robinson, Umang Bhatt, Jacopo Domenicucci, Jessica Montgomery, Gaël Varoquaux, Carl Henrik Ek, Vincent Fortuin, Yulan He, Tom Diethe, Neill W. Campbell, Mennatallah El-Assady, Søren Hauberg, Ivana Dusparic, Neil D. Lawrence
2025	—	`conf`	Context-Aware Model-Based Reinforcement Learning for Autonomous Racing. ICAR Emran Yasser Moustafa, Ivana Dusparic
2025	J	`jnl`	Context-Aware Model-Based Reinforcement Learning for Autonomous Racing. CoRR Emran Yasser Moustafa, Ivana Dusparic
2025	J	`jnl`	Continual Reinforcement Learning for Cyber-Physical Systems: Lessons Learned and Open Challenges. CoRR Kim N. Nolle, Ivana Dusparic, Rhodri Cusack, Vinny Cahill
2025	A*	`conf`	Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient. ICLR Wenlong Wang, Ivana Dusparic, Yucheng Shi, Ke Zhang, Vinny Cahill
2025	A	`conf`	Optimistic Exploration for Risk-Averse Constrained Reinforcement Learning. ECAI James McCarthy, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2025	J	`jnl`	Optimistic Exploration for Risk-Averse Constrained Reinforcement Learning. CoRR James McCarthy, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2025	—	`conf`	Towards Personalised and User-Friendly Counterfactual Sequences for Failure Correction. UMAP (Adjunct Publication) Jasmina Gajcin, Jovan Jeromela, Ivana Dusparic
2024	J	`jnl`	ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies. CoRR Jasmina Gajcin, Ivana Dusparic
2024	J	`jnl`	Agents in Traffic and Transportation (ATT 2022): Revised and Extended Papers. AI Commun. Ana L. C. Bazzan, Ivana Dusparic, Marin Lujak, Giuseppe Vizzari
2024	A	`conf`	Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles. IROS Yucheng Shi, Wenlong Wang, Xiaowen Tao, Ivana Dusparic, Vinny Cahill
2024	J	`jnl`	Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles. CoRR Yucheng Shi, Wenlong Wang, Xiaowen Tao, Ivana Dusparic, Vinny Cahill
2024	J	`jnl`	Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient. CoRR Wenlong Wang, Ivana Dusparic, Yucheng Shi, Ke Zhang, Vinny Cahill
2024	J	`jnl`	FedSBS: Federated-Learning participant-selection method for Intrusion Detection Systems. Comput. Networks Hélio N. Cunha Neto, Jernej Hribar, Ivana Dusparic, Natalia Castro Fernandes, Diogo M. F. Mattos
2024	—	`conf`	Growing Neural Gas in Multi-Agent Reinforcement Learning Adaptive Traffic Signal Control. ATT@ECAI Mladen Miletic, Ivana Dusparic, Edouard Ivanjko
2024	J	`jnl`	Guest editorial: Role of agents in traffic and transportation. Comput. Sci. Inf. Syst. Marin Lujak, Ana L. C. Bazzan, Ivana Dusparic, Giuseppe Vizzari
2024	—	`conf`	Learning Recovery Strategies for Dynamic Self-healing in Reactive Systems. SEAMS@ICSE Mateo Sanabria, Ivana Dusparic, Nicolás Cardozo
2024	J	`jnl`	Learning Recovery Strategies for Dynamic Self-healing in Reactive Systems. CoRR Mateo Sanabria, Ivana Dusparic, Nicolás Cardozo
2024	J	`jnl`	Learning-Assisted User Scheduling and Beamforming for mmWave Vehicular Networks. IEEE Trans. Veh. Technol. Bowen Xie, Sheng Chen, Sheng Zhou, Zhisheng Niu, Boris Galkin, Ivana Dusparic
2024	—	`conf`	Multi-Objective Deep Reinforcement Learning Optimisation in Autonomous Systems. ACSOS-C Juan C. Rosero, Nicolás Cardozo, Ivana Dusparic
2024	J	`jnl`	Multi-Objective Deep Reinforcement Learning for Optimisation in Autonomous Systems. CoRR Juan C. Rosero, Ivana Dusparic, Nicolás Cardozo
2024	A	`conf`	RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning. AAMAS Jasmina Gajcin, Ivana Dusparic
2024	J	`jnl`	Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities. ACM Comput. Surv. Jasmina Gajcin, Ivana Dusparic
2024	B	`conf`	Semifactual Explanations for Reinforcement Learning. HAI Jasmina Gajcin, Jovan Jeromela, Ivana Dusparic
2024	J	`jnl`	Semifactual Explanations for Reinforcement Learning. CoRR Jasmina Gajcin, Jovan Jeromela, Ivana Dusparic
2024	—	`ed.`	Thirteenth International Workshop on Agents in Traffic and Transportation co-located with the the 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 19, 2024. ATT@ECAI Ana Lúcia C. Bazzan, Ivana Dusparic, Marin Lujak, Giuseppe Vizzari
2024	—	`conf`	Towards 6G for Connected Autonomous Vehicles: A Trial Facility Analysis. CAMAD Shih-Kai Chou, Jernej Hribar, Ivana Dusparic, Carolina Fortuna
2023	J	`jnl`	A Survey on Securing Federated Learning: Analysis of Applications, Attacks, Challenges, and Trends. IEEE Access Hélio N. Cunha Neto, Jernej Hribar, Ivana Dusparic, Diogo Menezes Ferrazani Mattos, Natalia Castro Fernandes
2023	J	`jnl`	Adaptive Height Optimization for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach. IEEE Access Erika Fonseca, Boris Galkin, Ramy Amer, Luiz A. DaSilva, Ivana Dusparic
2023	J	`jnl`	Auto-COP: Adaptation generation in Context-oriented Programming using Reinforcement Learning options. Inf. Softw. Technol. Nicolás Cardozo, Ivana Dusparic
2023	J	`jnl`	Communication-enabled deep reinforcement learning to optimise energy-efficiency in UAV-assisted networks. Veh. Commun. Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
2023	—	`conf`	Deep W-Networks: Solving Multi-Objective Optimisation Problems with Deep Reinforcement Learning. ICAART (2) Jernej Hribar, Luke Hackett, Ivana Dusparic
2023	B	`conf`	Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks. WiMob Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
2023	J	`jnl`	Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks. CoRR Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
2023	A	`conf`	Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning. ECAI Alberto Castagna, Ivana Dusparic
2023	J	`jnl`	Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning. CoRR Alberto Castagna, Ivana Dusparic
2023	A	`conf`	Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification. ECAI Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2023	J	`jnl`	Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification. CoRR Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2023	—	`conf`	Message from the Program Chairs ACSOS 2023. ACSOS-C Ivana Dusparic, Barry Porter
2023	B	`conf`	Prevalence of Code Smells in Reinforcement Learning Projects. CAIN Nicolás Cardozo, Ivana Dusparic, Christian Cabrera
2023	J	`jnl`	Prevalence of Code Smells in Reinforcement Learning Projects. CoRR Nicolás Cardozo, Ivana Dusparic, Christian Cabrera
2023	J	`jnl`	RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning. CoRR Jasmina Gajcin, Ivana Dusparic
2023	—	`conf`	Reservation of Virtualized Resources with Optimistic Online Learning. ICC Jean-Baptiste Monteil, George Iosifidis, Ivana Dusparic
2023	J	`jnl`	Reservation of Virtualized Resources with Optimistic Online Learning. CoRR Jean-Baptiste Monteil, George Iosifidis, Ivana Dusparic
2022	J	`jnl`	Boolean Decision Rules for Reinforcement Learning Policy Summarisation. CoRR James McCarthy, Rahul Nair, Elizabeth Daly, Radu Marinescu, Ivana Dusparic
2022	J	`jnl`	Causal Counterfactuals for Improving the Robustness of Reinforcement Learning. CoRR Tom He, Jasmina Gajcin, Ivana Dusparic
2022	J	`jnl`	Communication-Enabled Multi-Agent Decentralised Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks. CoRR Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
2022	J	`jnl`	Counterfactual Explanations for Reinforcement Learning. CoRR Jasmina Gajcin, Ivana Dusparic
2022	J	`jnl`	Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning. CoRR Jernej Hribar, Luke Hackett, Ivana Dusparic
2022	B	`conf`	Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network. WCNC Jernej Hribar, Ivana Dusparic
2022	J	`jnl`	Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network. CoRR Jernej Hribar, Ivana Dusparic
2022	—	`conf`	Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning. CCNC Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
2022	B	`conf`	FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing. NetSoft Hélio N. Cunha Neto, Ivana Dusparic, Diogo M. F. Mattos, Natalia Castro Fernandes
2022	J	`jnl`	FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing. CoRR Hélio N. Cunha Neto, Ivana Dusparic, Diogo M. F. Mattos, Natalia Castro Fernandes
2022	J	`jnl`	Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. CoRR Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira, Thomas Vogel, Rebekka Wohlrab
2022	J	`jnl`	Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. ACM SIGSOFT Softw. Eng. Notes Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira, Thomas Vogel, Rebekka Wohlrab
2022	—	`ed.`	IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022, Virtual, CA, USA, September 19-23, 2022 ACSOS-C Roberto Casadei, Elisabetta Di Nitto, Ilias Gerostathopoulos, Danilo Pianini, Ivana Dusparic, Timothy Wood, Phyllis R. Nelson, Evangelos Pournaras, Nelly Bencomo, Sebastian Götz, Christian Krupitzer, Claudia Raibulet
2022	—	`ed.`	IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2022, Virtual, CA, USA, September 19-23, 2022 ACSOS Roberto Casadei, Elisabetta Di Nitto, Ilias Gerostathopoulos, Danilo Pianini, Ivana Dusparic, Timothy Wood, Phyllis R. Nelson, Evangelos Pournaras, Nelly Bencomo, Sebastian Götz, Christian Krupitzer, Claudia Raibulet
2022	—	`conf`	Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points. ICC Boris Galkin, Babatunji Omoniwa, Ivana Dusparic
2022	—	`conf`	Multi-agent Transfer Learning in Reinforcement Learning-based Ride-sharing Systems. ICAART (2) Alberto Castagna, Ivana Dusparic
2022	J	`jnl`	Next Generation Context-oriented Programming: Embracing Dynamic Generation of Adaptations. J. Object Technol. Nicolás Cardozo, Ivana Dusparic
2022	J	`jnl`	Optimising Energy Efficiency in UAV-Assisted Networks using Deep Reinforcement Learning. CoRR Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
2022	J	`jnl`	Optimizing Energy Efficiency in UAV-Assisted Networks Using Deep Reinforcement Learning. IEEE Wirel. Commun. Lett. Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
2022	B	`conf`	Prequential Model Selection for Time Series Forecasting based on Saliency Maps. IEEE Big Data Shivani Tomar, Seshu Tirupathi, Dhaval Vinodbhai Salwala, Ivana Dusparic, Elizabeth Daly
2022	J	`jnl`	REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association. IEEE Trans. Veh. Technol. Boris Galkin, Erika Fonseca, Ramy Amer, Luiz A. DaSilva, Ivana Dusparic
2022	—	`conf`	ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning. EXTRAAMAS@AAMAS Jasmina Gajcin, Ivana Dusparic
2022	J	`jnl`	ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning. CoRR Jasmina Gajcin, Ivana Dusparic
2022	—	`conf`	Reinforcement Learning for Sustainability: Adapting in large-scale heterogeneous dynamic environments. ACSOS-C Ivana Dusparic
2022	J	`jnl`	Timely and sustainable: Utilising correlation in status updates of battery-powered and energy-harvesting sensors using Deep Reinforcement Learning. Comput. Commun. Jernej Hribar, Luiz A. DaSilva, Sheng Zhou, Zhiyuan Jiang, Ivana Dusparic
2022	—	`ed.`	Twelfth International Workshop on Agents in Traffic and Transportation co-located with the the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 25, 2022. ATT@IJCAI Ana Lúcia C. Bazzan, Ivana Dusparic, Marin Lujak, Giuseppe Vizzari
2021	J	`jnl`	A reinforcement learning approach to improve communication performance and energy utilization in fog-based IoT. CoRR Babatunji Omoniwa, Maxime Guériau, Ivana Dusparic
2021	—	`conf`	Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions. SEAMS@ICSE Nicolás Cardozo, Ivana Dusparic
2021	J	`jnl`	Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions. CoRR Ivana Dusparic, Nicolás Cardozo
2021	J	`jnl`	Agents in Traffic and Transportation (ATT 2020). AI Commun. Marin Lujak, Ivana Dusparic, Franziska Klügl, Giuseppe Vizzari
2021	B	`conf`	Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning. GLOBECOM Jernej Hribar, Ryoichi Shinkuma, George Iosifidis, Ivana Dusparic
2021	J	`jnl`	Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning. CoRR Jernej Hribar, Ryoichi Shinkuma, George Iosifidis, Ivana Dusparic
2021	J	`jnl`	Auto-COP: Adaptation Generation in Context-Oriented Programming using Reinforcement Learning Options. CoRR Nicolás Cardozo, Ivana Dusparic
2021	J	`jnl`	Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents. CoRR Jasmina Gajcin, Rahul Nair, Tejaswini Pedapati, Radu Marinescu, Elizabeth Daly, Ivana Dusparic
2021	J	`jnl`	Demand-responsive rebalancing zone generation for reinforcement learning-based on-demand mobility. AI Commun. Alberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic
2021	—	`conf`	Dynamic Variable Speed Limit Zones Allocation Using Distributed Multi-Agent Reinforcement Learning. ITSC Kresimir Kusic, Edouard Ivanjko, Filip Vrbanic, Martin Greguric, Ivana Dusparic
2021	J	`jnl`	Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning. CoRR Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
2021	—	`conf`	Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum Network. ICC Workshops Boris Galkin, Erika Fonseca, Gavin Lee, Conor Duff, Marvin Kelly, Edward Emmanuel, Ivana Dusparic
2021	—	`conf`	Mobility for Cellular-Connected UAVs: Challenges for the Network Provider. EuCNC/6G Summit Erika Fonseca, Boris Galkin, Marvin Kelly, Luiz A. DaSilva, Ivana Dusparic
2021	J	`jnl`	Mobility for Cellular-Connected UAVs: challenges for the network provider. CoRR Erika Fonseca, Boris Galkin, Marvin Kelly, Luiz A. DaSilva, Ivana Dusparic
2021	J	`jnl`	Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points. CoRR Boris Galkin, Babatunji Omoniwa, Ivana Dusparic
2021	J	`jnl`	Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems. CoRR Alberto Castagna, Ivana Dusparic
2020	J	`jnl`	Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning. CoRR Erika Fonseca, Boris Galkin, Luiz A. DaSilva, Ivana Dusparic
2020	—	`conf`	Demand-Responsive Zone Generation for Real-Time Vehicle Rebalancing in Ride-Sharing Fleets. ATT@ECAI Alberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic
2020	—	`conf`	Does Neuron Coverage Matter for Deep Reinforcement Learning?: A Preliminary Study. ICSE (Workshops) Miller Trujillo, Mario Linares-Vásquez, Camilo Escobar-Velásquez, Ivana Dusparic, Nicolás Cardozo
2020	—	`ed.`	Eleventh International Workshop on Agents in Traffic and Transportation co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain, September 4, 2020. ATT@ECAI Ivana Dusparic, Franziska Klügl, Marin Lujak, Giuseppe Vizzari
2020	—	`conf`	Emerging Micro-Communities for Ride-Sharing Enabled Mobility-on-Demand Systems. ATT@ECAI Baudouin Dafflon, Maxime Guériau, Yacine Ouzrout, Ivana Dusparic
2020	J	`jnl`	Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum Network. CoRR Boris Galkin, Erika Fonseca, Gavin Lee, Conor Duff, Marvin Kelly, Edward Emmanuel, Ivana Dusparic
2020	—	`conf`	Extended Variable Speed Limit control using Multi-agent Reinforcement Learning. ITSC Kresimir Kusic, Ivana Dusparic, Maxime Guériau, Martin Greguric, Edouard Ivanjko
2020	—	`conf`	Language Abstractions and Techniques for Developing Collective Adaptive Systems Using Context-oriented Programming. ACSOS Companion Nicolás Cardozo, Ivana Dusparic
2020	—	`conf`	Learning run-time compositions of interacting adaptations. SEAMS@ICSE Nicolás Cardozo, Ivana Dusparic
2020	—	`conf`	Optimising PID Control with Residual Policy Reinforcement Learning. AICS Andrew Hynes, Elena P. Sapozhnikova, Ivana Dusparic
2020	—	`conf`	Quantifying the impact of connected and autonomous vehicles on traffic efficiency and safety in mixed traffic. ITSC Maxime Guériau, Ivana Dusparic
2020	J	`jnl`	REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association. CoRR Boris Galkin, Erika Fonseca, Ramy Amer, Luiz A. DaSilva, Ivana Dusparic
2020	J	`jnl`	Shared Autonomous Mobility on Demand: A Learning-Based Approach and Its Performance in the Presence of Traffic Congestion. IEEE Intell. Transp. Syst. Mag. Maxime Guériau, Federico Cugurullo, Ransford A. Acheampong, Ivana Dusparic
2019	B	`conf`	An RL-based Approach to Improve Communication Performance and Energy Utilization in Fog-based IoT. WiMob Babatunji Omoniwa, Maxime Guériau, Ivana Dusparic
2019	—	`conf`	Constructivist Approach to State Space Adaptation in Reinforcement Learning. SASO Maxime Guériau, Nicolás Cardozo, Ivana Dusparic
2019	—	`conf`	Multi-agent Deep Reinforcement Learning for Zero Energy Communities. ISGT Europe Amit Prasad, Ivana Dusparic
2019	B	`conf`	Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer? IJCNN Adam Taylor, Ivana Dusparic, Maxime Guériau, Siobhán Clarke
2019	J	`jnl`	Privacy Aware Incentivization for Participatory Sensing. Sensors Martin Connolly, Ivana Dusparic, Georgios Iosifidis, Mélanie Bouroche
2019	J	`jnl`	Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-Agent Systems. ACM Trans. Intell. Syst. Technol. Fatemeh Golpayegani, Ivana Dusparic, Siobhán Clarke
2019	B	`conf`	Variational Policy Chaining for Lifelong Reinforcement Learning. ICTAI Christopher Doyle, Maxime Guériau, Ivana Dusparic
2018	J	`jnl`	Adaptive Reward Allocation for Participatory Sensing. Wirel. Commun. Mob. Comput. Martin Connolly, Ivana Dusparic, Georgios Iosifidis, Mélanie Bouroche
2018	—	`conf`	An Identity Privacy Preserving Incentivization Scheme for Participatory Sensing. ICMU Martin Connolly, Ivana Dusparic, Mélanie Bouroche
2018	—	`conf`	Heterogeneous Multi-Agent Deep Reinforcement Learning for Traffic Lights Control. AICS Jeancarlo Arguello Calvo, Ivana Dusparic
2018	J	`jnl`	Multi-agent Deep Reinforcement Learning for Zero Energy Communities. CoRR Amit Prasad, Ivana Dusparic
2018	J	`jnl`	Participant Selection for Short-term Collaboration in Open Multi-agent systems. Simul. Model. Pract. Theory Fatemeh Golpayegani, Zahra Sahaf, Ivana Dusparic, Siobhán Clarke
2018	—	`ed.`	Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, including ECAI/IJCAI, AAMAS and ICML 2018 conferences (FAIM 2018), Stockholm, Sweden, July 14, 2018. ATT@IJCAI Ana Lúcia C. Bazzan, Luca Crociani, Ivana Dusparic, Sascha Ossowski
2018	—	`conf`	SAMoD: Shared Autonomous Mobility-on-Demand using Decentralized Reinforcement Learning. ITSC Maxime Guériau, Ivana Dusparic
2018	J	`jnl`	Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures. CoRR Stefano Bennati, Ivana Dusparic, Rhythima Shinde, Catholijn M. Jonker
2018	J	`jnl`	Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures. Sensors Stefano Bennati, Ivana Dusparic, Rhythima Shinde, Catholijn M. Jonker
2017	—	`conf`	Peace COrP: learning to solve conflicts between contexts. COP@ECOOP Nicolás Cardozo, Ivana Dusparic, Jorge H. Castro
2017	J	`jnl`	Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments. ACM Trans. Auton. Adapt. Syst. Andrei Marinescu, Ivana Dusparic, Siobhán Clarke
2016	J	`jnl`	Multi-agent Collaboration for Conflict Management in Residential Demand Response. Comput. Commun. Fatemeh Golpayegani, Ivana Dusparic, Adam Taylor, Siobhán Clarke
2016	—	`conf`	Towards autonomic urban traffic control with collaborative multi-policy reinforcement learning. ITSC Ivana Dusparic, Julien Monteil, Vinny Cahill
2015	—	`conf`	Collaborative, parallel Monte Carlo Tree Search for autonomous electricity demand management. SustainIT Fatemeh Golpayegani, Ivana Dusparic, Siobhán Clarke
2015	—	`conf`	Evaluation of Forecasting Methods for Very Small-Scale Networks. DARE Jean Cavallo, Andrei Marinescu, Ivana Dusparic, Siobhán Clarke
2015	—	`conf`	Maximizing renewable energy use with decentralized residential demand response. ISC2 Ivana Dusparic, Adam Taylor, Andrei Marinescu, Vinny Cahill, Siobhán Clarke
2015	A	`conf`	P-MARL: Prediction-Based Multi-Agent Reinforcement Learning for Non-Stationary Environments. AAMAS Andrei Marinescu, Ivana Dusparic, Adam Taylor, Vinny Cahill, Siobhán Clarke
2014	B	`conf`	A dynamic forecasting method for small scale residential electrical demand. IJCNN Andrei Marinescu, Ivana Dusparic, Colin Harris, Vinny Cahill, Siobhán Clarke
2014	—	`conf`	A hybrid approach to very small scale electrical demand forecasting. ISGT Andrei Marinescu, Colin Harris, Ivana Dusparic, Vinny Cahill, Siobhán Clarke
2014	B	`conf`	Accelerating Learning in multi-objective systems through Transfer Learning. IJCNN Adam Taylor, Ivana Dusparic, Edgar Galván López, Siobhán Clarke, Vinny Cahill
2014	J	`jnl`	Decentralised Multi-Agent Reinforcement Learning for Dynamic and Uncertain Environments. CoRR Andrei Marinescu, Ivana Dusparic, Adam Taylor, Vinny Cahill, Siobhán Clarke
2014	—	`conf`	Set point control for charging of electric vehicles on the distribution network. ISGT Colin Harris, Ivana Dusparic, Edgar Galván López, Andrei Marinescu, Vinny Cahill, Siobhán Clarke
2013	—	`conf`	Residential electrical demand forecasting in very small scale: An evaluation of forecasting methods. SE4SG@ICSE Andrei Marinescu, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill
2012	J	`jnl`	Autonomic multi-policy optimization in pervasive systems: Overview and evaluation. ACM Trans. Auton. Adapt. Syst. Ivana Dusparic, Vinny Cahill
2012	—	`conf`	Reducing electricity costs in a dynamic pricing environment. SmartGridComm Edgar Galván, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill
2010	—	`—`	Multi-policy optimization in decentralized autonomic systems Ivana Dusparic
2009	—	`conf`	Distributed W-Learning: Multi-Policy Optimization in Self-Organizing Systems. SASO Ivana Dusparic, Vinny Cahill
2009	—	`conf`	Multi-policy Optimization in Self-organizing Systems. SOAR Ivana Dusparic, Vinny Cahill
2009	—	`conf`	Multi-policy optimization in decentralized autonomic systems. AAMAS (2) Ivana Dusparic, Vinny Cahill
2009	C	`conf`	Using Reinforcement Learning for Multi-policy Optimization in Decentralized Autonomic Systems - An Experimental Evaluation. ATC Ivana Dusparic, Vinny Cahill
2009	—	`conf`	Using distributed w-learning for multi-policy optimization in decentralized autonomic systems. ICAC Ivana Dusparic, Vinny Cahill
2007	A	`conf`	Research Issues in Multiple Policy Optimization Using Collaborative Reinforcement Learning. SEAMS Ivana Dusparic, Vinny Cahill
2005	—	`conf`	Flexible Application Rights Management in a Pervasive Environment. EEE Ivana Dusparic, Dominik Dahlem, Jim Dowling
2004	—	`conf`	A Pervasive Application Rights Management Architecture (PARMA) based on ODRL. ODRL Workshop Dominik Dahlem, Ivana Dusparic, Jim Dowling