Proceedings are now published on http://ceur-ws.org/Vol-3173/
9:15 - 9:30 Opening - Ana Bazzan and Ivana Dusparic
9:30 - 10:45 Session 1: Traffic Signal Control
9:30 - 9:55 - Reward Function Design in Multi-Agent Reinforcement Learning for Traffic Signal Control - Behrad Koohy, Sebastian Stein, Enrico Gerding and Ghaithaa Manla [PDF]
9:55 - 10:20 - The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality - Rex Chen, Fei Fang and Norman Sadeh [PDF]
10:20 - 10:45 - Multiagent Reinforcement Learning for Traffic Signal Control: a k-Nearest Neighbors Based Approach - Vicente Nejar de Almeida, Ana L. C. Bazzan and Monireh Abdoos [PDF]
10:45-11:15 coffee break
11:15-12:30 Session 2 - On-demand mobility and ride-sharing
11:15 - 11:40 Multiobjective Routing in Sustainable Mobility-On-Demand - Mengya Liu, Vahid Yazdanpanah, Sebastian Stein and Enrico Gerding [PDF]
11:40 - 12:05 On balancing fairness and efficiency in routing of cooperative vehicle fleets - Aitor Lopez Sanchez, Marin Lujak, Frederic Semet and Holger Billhardt [PDF]
12:05 - 12:30 Improving Zonal Fairness While Maintaining Efficiency in Rideshare Matching - Ashwin Kumar, Yevgeniy Vorobeychik and William Yeoh [PDF]
12:30-14:00 lunch break
14:00-14:50 Session 3 - Autonomous vehicles and UAVs
14:00 - 14:25 Design of AI-based lane changing models in connected and autonomous vehicles: a survey - Bharathkumar Hegde and Melanie Bouroche [PDF]
14:25 - 14:50 Autonomous drone interception with Reinforcement Learning - Adrien Gauffriau, Damien Grasset, David Bertoin and Jayant Sen Gupta [PDF]
15:00-15:30 coffee break
15:30-17:15 Session 4
15:30 - 15:55 Furthering an agent-based modeling approach introducing affective states based off real data - Marta Giltri, Stefania Bandini, Francesca Gasparini and Daniela Briola [PDF]
15:55 - 16:10 Machine Learning Analysis of Pedestrians’ Hazard Anticipation from Eye Tracking Data -Andreas Gregoriades, Loukas Dimitriou, Harris Michail, Maria Pampaka and Michael Georgiades (short paper) [PDF]
16:10 - 16:35 A Multiobjective Reinforcement Learning Approach to Trip Building - Guilherme Santos and Ana L. C. Bazzan [PDF]
16:35 - 16:50 Incorporating social norms into a configurable agent-based model of the decision to perform commuting behaviour - Robert Greener, Daniel Lewis, Jon Reades, Simon Miles and Steven Cummins (short paper) [PDF]
16:50 - 17:15 A machine learning pipeline for extracting decision-support features from traffic scenes -Vitor Fraga, Lincoln Schreiber, Rafael Kunst, Jorge Barbosa and Gabriel Ramos [PDF]
17:15-17:30 Closing - Ana Bazzan and Ivana Dusparic