Ivana Dusparic
Orcid: 0000-0003-0621-5400
According to our database1,
Ivana Dusparic
authored at least 100 papers
between 2004 and 2024.
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Bibliography
2024
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities.
ACM Comput. Surv., September, 2024
IEEE Trans. Veh. Technol., August, 2024
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient.
CoRR, 2024
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies.
CoRR, 2024
Comput. Sci. Inf. Syst., 2024
FedSBS: Federated-Learning participant-selection method for Intrusion Detection Systems.
Comput. Networks, 2024
AI Commun., 2024
Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2024
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Proceedings of the 12th International Conference on Human-Agent Interaction, 2024
Growing Neural Gas in Multi-Agent Reinforcement Learning Adaptive Traffic Signal Control.
Proceedings of the Thirteenth International Workshop on Agents in Traffic and Transportation co-located with the the 27th European Conference on Artificial Intelligence (ECAI 2024), 2024
RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024
2023
Auto-COP: Adaptation generation in Context-oriented Programming using Reinforcement Learning options.
Inf. Softw. Technol., December, 2023
Communication-enabled deep reinforcement learning to optimise energy-efficiency in UAV-assisted networks.
Veh. Commun., October, 2023
A Survey on Securing Federated Learning: Analysis of Applications, Attacks, Challenges, and Trends.
IEEE Access, 2023
Adaptive Height Optimization for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach.
IEEE Access, 2023
Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks.
Proceedings of the 19th International Conference on Wireless and Mobile Computing, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Deep W-Networks: Solving Multi-Objective Optimisation Problems with Deep Reinforcement Learning.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023
2022
Optimizing Energy Efficiency in UAV-Assisted Networks Using Deep Reinforcement Learning.
IEEE Wirel. Commun. Lett., 2022
REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association.
IEEE Trans. Veh. Technol., 2022
ACM SIGSOFT Softw. Eng. Notes, 2022
Next Generation Context-oriented Programming: Embracing Dynamic Generation of Adaptations.
J. Object Technol., 2022
CoRR, 2022
Communication-Enabled Multi-Agent Decentralised Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks.
CoRR, 2022
Optimising Energy Efficiency in UAV-Assisted Networks using Deep Reinforcement Learning.
CoRR, 2022
Timely and sustainable: Utilising correlation in status updates of battery-powered and energy-harvesting sensors using Deep Reinforcement Learning.
Comput. Commun., 2022
Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing.
Proceedings of the 8th IEEE International Conference on Network Softwarization, 2022
Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points.
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2022
Reinforcement Learning for Sustainability: Adapting in large-scale heterogeneous dynamic environments.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, 2022
2021
CoRR, 2021
Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning.
CoRR, 2021
A reinforcement learning approach to improve communication performance and energy utilization in fog-based IoT.
CoRR, 2021
Demand-responsive rebalancing zone generation for reinforcement learning-based on-demand mobility.
AI Commun., 2021
Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions.
Proceedings of the 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2021
Dynamic Variable Speed Limit Zones Allocation Using Distributed Multi-Agent Reinforcement Learning.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the IEEE International Conference on Communications Workshops, 2021
Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning.
Proceedings of the IEEE Global Communications Conference, 2021
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2021
2020
Shared Autonomous Mobility on Demand: A Learning-Based Approach and Its Performance in the Presence of Traffic Congestion.
IEEE Intell. Transp. Syst. Mag., 2020
Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning.
CoRR, 2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Quantifying the impact of connected and autonomous vehicles on traffic efficiency and safety in mixed traffic.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020
Proceedings of the SEAMS '20: IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Seoul, Republic of Korea, 29 June, 2020
Proceedings of the Eleventh International Workshop on Agents in Traffic and Transportation co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
Demand-Responsive Zone Generation for Real-Time Vehicle Rebalancing in Ride-Sharing Fleets.
Proceedings of the Eleventh International Workshop on Agents in Traffic and Transportation co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, 2020
Language Abstractions and Techniques for Developing Collective Adaptive Systems Using Context-oriented Programming.
Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020
2019
ACM Trans. Intell. Syst. Technol., 2019
An RL-based Approach to Improve Communication Performance and Energy Utilization in Fog-based IoT.
Proceedings of the 2019 International Conference on Wireless and Mobile Computing, 2019
Proceedings of the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2019
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
2018
Wirel. Commun. Mob. Comput., 2018
Simul. Model. Pract. Theory, 2018
Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures.
Sensors, 2018
SAMoD: Shared Autonomous Mobility-on-Demand using Decentralized Reinforcement Learning.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Proceedings of the Eleventh International Conference on Mobile Computing and Ubiquitous Network, 2018
Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018
2017
Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments.
ACM Trans. Auton. Adapt. Syst., 2017
Proceedings of the 9th International Workshop on Context-Oriented Programming, 2017
2016
Comput. Commun., 2016
Towards autonomic urban traffic control with collaborative multi-policy reinforcement learning.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
2015
Proceedings of the Data Analytics for Renewable Energy Integration, 2015
Proceedings of the IEEE First International Smart Cities Conference, 2015
Collaborative, parallel Monte Carlo Tree Search for autonomous electricity demand management.
Proceedings of the 2015 Sustainable Internet and ICT for Sustainability, 2015
P-MARL: Prediction-Based Multi-Agent Reinforcement Learning for Non-Stationary Environments.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015
2014
Decentralised Multi-Agent Reinforcement Learning for Dynamic and Uncertain Environments.
CoRR, 2014
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Residential electrical demand forecasting in very small scale: An evaluation of forecasting methods.
Proceedings of the 2nd International Workshop on Software Engineering Challenges for the Smart Grid, 2013
2012
ACM Trans. Auton. Adapt. Syst., 2012
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012
2010
2009
Proceedings of the Self-Organizing Architectures, First International Workshop, 2009
Proceedings of the Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2009
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems.
Proceedings of the 6th International Conference on Autonomic Computing, 2009
Using Reinforcement Learning for Multi-policy Optimization in Decentralized Autonomic Systems - An Experimental Evaluation.
Proceedings of the Autonomic and Trusted Computing, 6th International Conference, 2009
Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009
2007
Research Issues in Multiple Policy Optimization Using Collaborative Reinforcement Learning.
Proceedings of the 2007 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, 2007
2005
Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce, and e-Services (EEE 2005), 29 March, 2005
2004
Proceedings of the First International Workshop on the Open Digital Rights Language (ODRL), 2004