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Publication search results
found 66 matches
- 2024
- André Artelt, Andreas Gregoriades:
Application of Multi-Instance Counterfactual Explanation in Road Safety Analysis. ATT@ECAI 2024: 96-107 - Ana L. C. Bazzan, Henrique U. Gobbi:
Learning From Your Virtual Neighbors: a Reinforcement Learning Approach to Traffic Signal Control. ATT@ECAI 2024: 31-43 - Mathieu Bourgais, Arnaud Saval, Pierrick Tranouez, Olivier Gillet, Éric Daudé:
Designing a Serious Game of Crisis Management on Top of an Agent-Based Simulation of Population Evacuation. ATT@ECAI 2024: 150-161 - Shuncheng Cai, Mélanie Bouroche:
Multi-Agent Deep Reinforcement Learning for Longitudinal Control of CAVs in Mixed Traffic Environments with Unreliable Communication. ATT@ECAI 2024: 69-82 - Matteo Cederle, Marco Fabris, Gian Antonio Susto:
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning. ATT@ECAI 2024: 1-15 - Marvin Damschen, Rickard Häll, Anders Thorsén, Ashfaq Farooqui:
Assessing a UAS for Maritime Firefighting and Rescue on Ro-Ro Ships. ATT@ECAI 2024: 122-135 - Alaa Daoud, Corentin Bunel, Maxime Guériau:
Introducing Multiagent Systems for AV Visual Introducing Multiagent Systems for AV Visual Perception Sub-tasks: A proof-of-concept implementation for bounding-box improvement. ATT@ECAI 2024: 162-176 - Bharathkumar Hegde, Mélanie Bouroche:
Safe CAV Lane Changes Using MARL and Control Barrier Functions. ATT@ECAI 2024: 83-95 - Anastasios Kontogiorgis, Mélanie Bouroche:
CAV Unsignalised Intersection Crossing with Unreliable Emergent Communication. ATT@ECAI 2024: 54-68 - Mladen Miletic, Ivana Dusparic, Edouard Ivanjko:
Growing Neural Gas in Multi-Agent Reinforcement Learning Adaptive Traffic Signal Control. ATT@ECAI 2024: 16-30 - Patrick O'Hara, Ramanujan Sridharan, Theo Damoulas:
Routing on Sparse Graphs with Non-metric Costs for the Prize-collecting Travelling Salesperson Problem. ATT@ECAI 2024: 108-121 - Davide Tosi, Riccardo Cappi, Sebastiano Monti:
Deep Convolutional Q-Learning for Traffic Lights Optimization in Smart Cities. ATT@ECAI 2024: 44-53 - Giuseppe Vizzari, Daniela Briola, Federico Pisapia:
Curriculum-Based RL for Pedestrian Simulation: Sensitivity Analysis and Hyperparameter Exploration. ATT@ECAI 2024: 136-149 - Ana Lúcia C. Bazzan, Ivana Dusparic, Marin Lujak, Giuseppe Vizzari:
Thirteenth International Workshop on Agents in Traffic and Transportation co-located with the the 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 19, 2024. CEUR Workshop Proceedings 3813, CEUR-WS.org 2024 [contents] - 2022
- Vicente Nejar de Almeida, Ana L. C. Bazzan, Monireh Abdoos:
Multiagent Reinforcement Learning for Traffic Signal Control: a k-Nearest Neighbors Based Approach. ATT@IJCAI 2022: 32-46 - Rex Chen, Fei Fang, Norman M. Sadeh:
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality. ATT@IJCAI 2022: 14-31 - Vitor A. Fraga, Lincoln Schreiber, Rafael Kunst, Jorge L. V. Barbosa, Gabriel de Oliveira Ramos:
A Machine Learning Pipeline for Extracting Decision-Support Features from Traffic Scenes. ATT@IJCAI 2022: 194-208 - Adrien Gauffriau, Damien Grasset, David Bertoin, Jayant Sen Gupta:
Autonomous Drone Interception with Reinforcement Learning. ATT@IJCAI 2022: 108-123 - Marta Giltri, Stefania Bandini, Francesca Gasparini, Daniela Briola:
Furthering an Agent-Based Modeling Approach Introducing Affective States Based on Real Data. ATT@IJCAI 2022: 124-136 - Robert Greener, Daniel Lewis, Jon Reades, Simon Miles, Steven Cummins:
Incorporating Social Norms into a Configurable Agent-Based Model of the Decision to Perform Commuting Behaviour. ATT@IJCAI 2022: 175-193 - Andreas Gregoriades, Loukas Dimitriou, Harris E. Michail, Maria Pampaka, Michael Georgiades:
Machine Learning Analysis of Pedestrians' Hazard Anticipation from Eye Tracking Data. ATT@IJCAI 2022: 137-159 - Bharathkumar Hegde, Mélanie Bouroche:
Design of AI-Based Lane Changing Models in Connected and Autonomous Vehicles: a Survey. ATT@IJCAI 2022: 91-107 - Behrad Koohy, Sebastian Stein, Enrico H. Gerding, Ghaithaa Manla:
Reward Function Design in Multi-Agent Reinforcement Learning for Traffic Signal Control. ATT@IJCAI 2022: 1-13 - Ashwin Kumar, Yevgeniy Vorobeychik, William Yeoh:
Improving Zonal Fairness While Maintaining Efficiency in Rideshare Matching. ATT@IJCAI 2022: 77-90 - Mengya Liu, Vahid Yazdanpanah, Sebastian Stein, Enrico H. Gerding:
Multiobjective Routing in Sustainable Mobility-On-Demand. ATT@IJCAI 2022: 47-61 - Aitor López Sánchez, Marin Lujak, Frédéric Semet, Holger Billhardt:
On Balancing Fairness and Efficiency in Routing of Cooperative Vehicle Fleets. ATT@IJCAI 2022: 62-76 - Guilherme Dytz dos Santos, Ana L. C. Bazzan:
A Multiobjective Reinforcement Learning Approach to Trip Building. ATT@IJCAI 2022: 160-174 - Ana Lúcia C. Bazzan, Ivana Dusparic, Marin Lujak, Giuseppe Vizzari:
Twelfth International Workshop on Agents in Traffic and Transportation co-located with the the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 25, 2022. CEUR Workshop Proceedings 3173, CEUR-WS.org 2022 [contents] - 2020
- Ana L. C. Bazzan, Franziska Klügl:
Experience Sharing in a Traffic Scenario. ATT@ECAI 2020: 71-78 - Alberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic:
Demand-Responsive Zone Generation for Real-Time Vehicle Rebalancing in Ride-Sharing Fleets. ATT@ECAI 2020: 47-54
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