Ivana Dusparic

According to our database1, Ivana Dusparic authored at least 46 papers between 2004 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

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

Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum Network.
CoRR, 2020

REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association.
CoRR, 2020

Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning.
CoRR, 2020

Does Neuron Coverage Matter for Deep Reinforcement Learning?: A Preliminary Study.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Learning run-time compositions of interacting adaptations.
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

Emerging Micro-Communities for Ride-Sharing Enabled Mobility-on-Demand Systems.
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

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
Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-Agent Systems.
ACM Trans. Intell. Syst. Technol., 2019

Privacy Aware Incentivization for Participatory Sensing.
Sensors, 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

Constructivist Approach to State Space Adaptation in Reinforcement Learning.
Proceedings of the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2019

Multi-agent Deep Reinforcement Learning for Zero Energy Communities.
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer?
Proceedings of the International Joint Conference on Neural Networks, 2019

Variational Policy Chaining for Lifelong Reinforcement Learning.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
Adaptive Reward Allocation for Participatory Sensing.
Wirel. Commun. Mob. Comput., 2018

Participant Selection for Short-term Collaboration in Open Multi-agent systems.
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

An Identity Privacy Preserving Incentivization Scheme for Participatory Sensing.
Proceedings of the Eleventh International Conference on Mobile Computing and Ubiquitous Network, 2018

Heterogeneous Multi-Agent Deep Reinforcement Learning for Traffic Lights Control.
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

Peace COrP: learning to solve conflicts between contexts.
Proceedings of the 9th International Workshop on Context-Oriented Programming, 2017

2016
Multi-agent Collaboration for Conflict Management in Residential Demand Response.
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
Evaluation of Forecasting Methods for Very Small-Scale Networks.
Proceedings of the Data Analytics for Renewable Energy Integration, 2015

Maximizing renewable energy use with decentralized residential demand response.
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

A hybrid approach to very small scale electrical demand forecasting.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

Set point control for charging of electric vehicles on the distribution network.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

Accelerating Learning in multi-objective systems through Transfer Learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A dynamic forecasting method for small scale residential electrical demand.
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
Autonomic multi-policy optimization in pervasive systems: Overview and evaluation.
ACM Trans. Auton. Adapt. Syst., 2012

Reducing electricity costs in a dynamic pricing environment.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

2009
Multi-policy Optimization in Self-organizing Systems.
Proceedings of the Self-Organizing Architectures, First International Workshop, 2009

Distributed W-Learning: Multi-Policy Optimization in Self-Organizing Systems.
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

Multi-policy optimization in decentralized autonomic systems.
Proceedings of the 8th International Joint 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
Flexible Application Rights Management in a Pervasive Environment.
Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce, and e-Services (EEE 2005), 29 March, 2005

2004
A Pervasive Application Rights Management Architecture (PARMA) based on ODRL.
Proceedings of the First International Workshop on the Open Digital Rights Language (ODRL), 2004


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