| |
2019 |
A Taylor, I Dusparic, M Gueriau, S Clarke |
Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer? International Joint Conference on Neural Networks (IJCNN) |
| |
2021 |
Acheampong, R. A., Cugurullo, F., Gueriau, M., & Dusparic, I. |
Can autonomous vehicles enable sustainable mobility in future cities? Insights and policy challenges from user preferences over different urban transport options Cities, 112. DOI: https://doi.org/10.1016/j.cities.2021.103134 |
| |
2014 |
Adam Taylor, Edgar Galván-López, Ivana Dusparic, Colin Harris, Andrei Marinescu, Siobhán Clarke and Vinny Cahill |
Self-Organising Algorithms for Residential Demand Response IEEE Conference on Technologies for Sustainability - Engineering and the Environment (SusTech 2014), pp55-60. DOI: http://dx.doi.org/10.1109/sustech.2014.7046218 |
| |
2014 |
Adam Taylor, Ivana Dusparic, Edgar Galván-López, Siobhán Clarke and Vinny Cahill. |
Accelerating Learning in Multi-Objective Systems through Transfer Learning Special Session on Learning and Optimization in Multi-Criteria Dynamic and Uncertain Environments at the IEEE International Joint Conference on Neural Networks (IJCNN 2014).. DOI: http://dx.doi.org/10.1109/ijcnn.2014.6889438 |
| |
2020 |
Alberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic |
Demand-Responsive Zone Generation for Real-Time Vehicle Rebalancing in Ride-Sharing Fleets Agents in Traffic and Transportation (ATT 2020) |
| |
2014 |
Andrei Marinescu, Ivana Dusparic, Colin Harris, Vinny Cahill, Siobhán Clarke |
A Dynamic Forecasting Method for Small Scale Residential Electrical Demand Proceeding of the International Joint Conference on Neural Networks. DOI: http://dx.doi.org/10.1109/IJCNN.2014.6889425 |
| |
2017 |
Andrei Marinescu, Ivana Dusparic, Siobhán Clarke. |
Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments ACM Transactions on Autonomous and Adaptive Systems, 12(2). DOI: http://dx.doi.org/10.1145/3070861 |
| |
2020 |
Cardozo, N and Dusparic, I |
Language Abstractions and Techniques for Developing Collective Adaptive Systems Using Context-oriented Programming |
| |
2023 |
Cardozo, Nicol{\'a |
Auto-cop: adaptation generation in context-oriented programming using reinforcement learning options Information and Software Technology (IST) |
| |
2022 |
Cardozo, Nicolas and Dusparic, Ivana |
Next Generation Context-oriented Programming: Embracing Dynamic Generation of Adaptations Journal of Object Technology, 21(2), pp1--6 |
| |
2021 |
Cardozo, Nicolas and Dusparic, Ivana |
Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions , pp252--253. DOI: http://dx.doi.org/10.1109/SEAMS51251.2021.00041 |
| |
2021 |
Cardozo, Nicolas and Dusparic, Ivana |
Auto-COP: Adaptation Generation in Context-Oriented Programming using Reinforcement Learning Options arXiv preprint arXiv:2103.06757 |
| |
2023 |
Cardozo, Nicolas and Dusparic, Ivana and Cabrera, Christian |
Prevalence of Code Smells in Reinforcement Learning Projects |
| |
2019 |
Cardozo, Nicolas and Dusparic, Ivana and Linares-Vasquez, Mario |
Perspectives in Testing Deep RL |
| |
2023 |
Castagna, Alberto and Dusparic, Ivana |
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning |
| |
2022 |
Castagna, Alberto and Dusparic, Ivana |
Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems |
| |
2021 |
Castagna, Albertoa and Gueriau, Maxime and Vizzari, Giuseppe and Dusparic, Ivana |
Demand-responsive rebalancing zone generation for reinforcement learning-based on-demand mobility AI Communications, 34(1), pp73--88 |
| |
2015 |
Cavallo J, Marinescu A, Dusparic I, Clarke S |
Evaluation of forecasting methods for very small-scale networks Data Analytics for Renewable Energy Integration, pp5675. DOI: http://dx.doi.org/10.1007/978-3-319-27430-0_5 |
| |
2020 |
Dafflon, Baudouin and Gueriau, Maxime and Ouzrout, Yacine and Dusparic, Ivana |
Emergent micro-communities for ride-sharing enabled Mobility-on-Demand systems |
| |
2004 |
Dominik Dahlem and Ivana Dusparic, Jim Dowling, |
A Pervasive Application Rights Management Architecture (PARMA) based on ODRL First International Open Digital Rights Language (ODRL) Workshop, pp46--63 |
| |
2019 |
Doyle, Christopher and Gueriau, Maxime and Dusparic, Ivana |
Variational Policy Chaining for Lifelong Reinforcement Learning |
| |
2007 |
Dusparic, I. and Cahill, V. |
Research issues in multiple policy optimization using collaborative reinforcement learning International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS'07). DOI: http://dx.doi.org/10.1109/SEAMS.2007.17 |
| |
2012 |
Dusparic, I., Cahill, V. |
Autonomic multi-policy optimization in pervasive systems: Overview and evaluation ACM Transactions on Autonomous and Adaptive Systems, 7(1). DOI: http://dx.doi.org/10.1145/2168260.2168271 |
| |
2013 |
Dusparic, I., Harris, C., Marinescu, A., Cahill, V., Clarke, S. |
Multi-agent residential demand response based on load forecasting IEEE Conference on Technologies for Sustainability Engineering and the Environment (SusTech), pp90-96. DOI: http://dx.doi.org/10.1109/SusTech.2013.6617303 |
| |
2017 |
Dusparic, I., Taylor, A., Marinescu, A., Golpayegani, F., Clarke, S. |
Residential demand response: Experimental evaluation and comparison of self-organizing techniques Renewable and Sustainable Energy Reviews, 80, pp1528-1536 . DOI: http://doi.org/10.1016/j.rser.2017.07.033 |
| |
2022 |
Dusparic, Ivana |
Reinforcement Learning for Sustainability: Adapting in large-scale heterogeneous dynamic environments , pp49--50 |
| |
2012 |
Edgar Galvan-Lopez, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill |
Reducing Electricity Costs in a Dynamic Pricing Environment 3rd IEEE International Conference on Smart Grid Communications, pp169-174 . DOI: http://dx.doi.org/10.1109/SmartGridComm.2012.6485978 |
| |
2019 |
F Golpayegani, I Dusparic, S Clarke |
Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-Agent Systems ACM Transactions on Intelligent Systems and Technology, 10(3), pp3319402. DOI: HTTP://DX.DOI.ORG/10.1145/3319402 |
| |
2018 |
Fatemeh Golpayegani, Zahra Sahaf, Ivana Dusparic, SIobhan Clarke |
Participant Selection for Short-term Collaboration in Open Multi-agent systems Simulation Modelling Practice and Theory, 83, pp149-161. DOI: https://doi.org/10.1016/j.simpat.2017.11.007 |
| |
2020 |
Federico Cugurullo, Ransford Acheampong, Maxime Gueriau, Ivana Dusparic |
The transition to autonomous cars, the redesign of cities and the future of urban sustainability Urban Geography. DOI: https://doi.org/10.1080/02723638.2020.1746096 |
| |
2021 |
Fonseca E., Galkin B., Kelly M., Dasilva L.A., Dusparic I. |
Mobility for cellular-connected UAVs: Challenges for the network provider 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021, pp136-141. DOI: http://dx.doi.org/10.1109/EuCNC/6GSummit51104.2021.9482435 |
| |
2023 |
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, pp5966-5980. DOI: https://doi.org/10.1109/ACCESS.2022.3232077 |
| |
2024 |
Gajcin, Jasmina and Dusparic, Ivana |
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities ACM Computing Surveys |
| |
2024 |
Gajcin, Jasmina and Dusparic, Ivana |
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies https://arxiv.org/abs/2402.06503 |
| |
2022 |
Gajcin, Jasmina and Dusparic, Ivana |
ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning |
| |
2023 |
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 |
| |
2022 |
Gajcin, Jasmina and Nair, Rahul and Pedapati, Tejaswini and Marinescu, Radu and Daly, Elizabeth and Dusparic, Ivana |
Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents |
| |
2021 |
Galkin, Boris and Fonseca, Erika and Amer, Ramy and DaSilva, Luiz A and Dusparic, Ivana |
REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association IEEE Transactions on Vehicular Technology |
| |
2021 |
Galkin, Boris and Fonseca, Erika and Lee, Gavin and Duff, Conor and Kelly, Marvin and Emmanuel, Edward and Dusparic, Ivana |
Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6 GHz Spectrum Network . DOI: http://dx.doi.org/10.1109/ICCWorkshops50388.2021.9473826 |
| |
2022 |
Galkin, Boris and Omoniwa, Babatunji and Dusparic, Ivana |
Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points |
| |
2016 |
Golpayegani F, Dusparic I, Taylor A, Clarke S |
Multi-agent Collaboration for Conflict Management in Residential Demand Response Computer Communications, 96, pp63-72. DOI: http://dx.doi.org/10.1016/j.comcom.2016.04.020 |
| |
2015 |
Golpayegani, F., Dusparic, I., Clarke, S. |
Collaborative, parallel Monte Carlo Tree Search for autonomous electricity demand management Sustainable Internet and ICT for Sustainability, SustainIT 2015, pp7101360-. DOI: http://dx.doi.org/ 10.1109/SustainIT.2015.7101360 |
| |
2020 |
Gueriau, Maxime and Cugurullo, Federico and Acheampong, Ransford A. and Dusparic, Ivana |
Shared Autonomous Mobility-on-Demand: Learning-based approach and its performance in the presence of traffic congestion IEEE Intelligent Transportation Systems Magazine |
| |
2020 |
Gueriau, Maxime and Dusparic, Ivana |
Quantifying the impact of connected and autonomous vehicles on traffic efficiency and safety in mixed traffic |
| |
2014 |
Harris, C. : Doolan, R. ; Dusparic, I. ; Marinescu, A. ; Cahill, V. ; Clarke, S. |
A distributed agent based mechanism for shaping of aggregate demand on the smart grid ENERGYCON 2014 - IEEE, pp737 - 742 . DOI: http://dx.doi.org/10.1109/ENERGYCON.2014.6850508 |
| |
2014 |
Harris, C., Dusparic, I., Galván-López, E., (...), Cahill, V., Clarke, S. |
Set point control for charging of electric vehicles on the distribution network IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014, pp6816415. DOI: http://dx.doi.org/10.1109/ISGT.2014.6816415 |
| |
2022 |
Hribar, Jernej and DaSilva, Luiz A and Zhou, Sheng and Jiang, Zhiyuan and Dusparic, Ivana |
Timely and sustainable: Utilising correlation in status updates of battery-powered and energy-harvesting sensors using deep reinforcement learning Computer Communications, 192, pp223--233 |
| |
2022 |
Hribar, Jernej and Dusparic, Ivana |
Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network IEEE Access. DOI: https://doi.org/10.1109/WCNC51071.2022.9771901 |
| |
2023 |
Hribar, Jernej and Hackett, Luke and Dusparic, Ivana |
Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning |
| |
2021 |
Hribar, Jernej and Shinkuma, Ryoichi and Iosifidis, George and Dusparic, Ivana |
Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning . DOI: http://dx.doi.org/10.1109/GLOBECOM46510.2021.9685166 |
