Our work focuses on developing and evaluating enhanced inverse reinforcement learning and imitation learning methods regarding 4D trajectories, although not only for those trajectories. Thus, we follow a supervised leaning approach, and treat historical data provided by “experts” as demonstrations that a machine learning algorithm should exploit to learn the corresponding models of costs/rewards and action policies. Then, learned models can be exploited to plan or predict trajectories.
Specific Topics
- Imitation & Inverse Reinforcement Learning with Deep Machine Learning Methods
- Modelling and Doing Analytics with Trajectories in the Transportation Domain
Recent Publications
2019 |
Doulkeridis, Christos; Qu, Qiang; Vouros, George A; ~a, Jo Guest Editorial: Special issue on mobility analytics for spatio-temporal and social data. Journal Article GEOINFORMATICA, 23 , 2019. @article{353, title = {Guest Editorial: Special issue on mobility analytics for spatio-temporal and social data.}, author = {Christos Doulkeridis and Qiang Qu and George A Vouros and Jo ~a}, url = {https://link.springer.com/article/10.1007%2Fs10707-019-00374-x}, year = {2019}, date = {2019-01-01}, journal = {GEOINFORMATICA}, volume = {23}, chapter = {235}, keywords = {}, pubstate = {published}, tppubtype = {article} } |
2018 |
Vouros, George A; et al., Big Data Analytics for Time Critical Mobility Forecasting: Recent Progress and Research Challenges Proceeding 2018. @proceedings{329, title = {Big Data Analytics for Time Critical Mobility Forecasting: Recent Progress and Research Challenges}, author = {George A Vouros and et al.}, year = {2018}, date = {2018-01-01}, journal = {EDBT 2018}, keywords = {}, pubstate = {published}, tppubtype = {proceedings} } |
Vouros, George A; et al., Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events Proceeding 2018. @proceedings{330, title = {Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events}, author = {George A Vouros and et al.}, year = {2018}, date = {2018-01-01}, journal = {W2GIS 2018}, keywords = {}, pubstate = {published}, tppubtype = {proceedings} } |
Doulkeridis, Christos; Vouros, George A; Qu, Qiang; Wang, Shuhui Springer, 10731 , 2018, ISBN: 978-3-319-73520-7. @proceedings{333, title = {Mobility Analytics for Spatio-Temporal and Social Data – First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected Papers.}, author = {Christos Doulkeridis and George A Vouros and Qiang Qu and Shuhui Wang}, url = {http://dblp.uni-trier.de/db/conf/vldb/mates2017.html}, isbn = {978-3-319-73520-7}, year = {2018}, date = {2018-01-01}, volume = {10731}, publisher = {Springer}, keywords = {}, pubstate = {published}, tppubtype = {proceedings} } |
Vouros, George A; Kontopoulos, Ioannis; Santipantakis, George M; Vlachou, Akrivi; Doulkeridis, Christos; Artikis, Alexander A Stream Reasoning System for Maritime Monitoring Proceeding 2018. @proceedings{341, title = {A Stream Reasoning System for Maritime Monitoring}, author = {George A Vouros and Ioannis Kontopoulos and George M Santipantakis and Akrivi Vlachou and Christos Doulkeridis and Alexander Artikis}, year = {2018}, date = {2018-01-01}, journal = {TIME 2018}, keywords = {}, pubstate = {published}, tppubtype = {proceedings} } |