Tutorials
The schedule and the links to the virtual rooms are provided at
https://underline.io/events/288/schedule?day=2022-05-10T22%3A00%3A00.000Z&trackId=1488
Mechanism Design without Money:Matching, Facility Location, and Beyond
Organizers: Haris Aziz (UNSW Sydney & Data61, CSIRO); Hau Chan (University of Nebraska-Lincoln); Hadi Hosseini (Penn State University); Chenhao Wang (Beijing Normal University)*
Duration: 3 hours
Website: https://sites.google.com/view/aamas-2022-tutorialmdwomoney
3:00 – 6:00, May 10, Auckland Time
11:00 – 14:00, May 9, New York Time
17:00 – 20:00, May 9, Paris Time
20:30 – 23:30, May 9, Kolkata Time
23:00 – 2:00 (+1 day) May 9, Beijing Time
Tutorial on Multi-Agent Distributed Constrained Optimization
Organizers: Gauthier Picard (ONERA)*; Filippo Bistaffa (IIIA-CSIC)
Duration: 3 hours
19:00 – 22:00, May 9, Auckland Time
3:00 – 6:00, May 9, New York Time
9:00 – 12:00, May 9, Paris Time
12:30 – 15:30, May 9, Kolkata Time
15:00 – 18:00, May 9, Beijing Time
Risk-aware Single-agent & Multi-agent Reinforcement Learning: Algorithms and Meta-algorithms
Organizers: Bo Liu (Auburn University)*; Bo An (Nanyang Technological University); Yangyang Xu (Rensselaer Polytechnic Institute)
Duration: 3 hours
Website: https://liubo-cs.github.io/files/aamas-tutorial-riskrl.html
11:00 – 14:00, May 10, Auckland Time
19:00 – 22:00, May 9, New York Time
1:00 – 4:00, May 10, Paris Time
4:30 – 7:30, May 10, Kolkata Time
7:00 – 10:00, May 10, Beijing Time
Distortion in Social Choice & Beyond
Organizer: Nisarg Shah (University of Toronto)*
Duration: 3 hours
Website: https://www.cs.toronto.edu/~nisarg/tutorials/distortion.html
3:00 – 6:00, May 10, Auckland Time
11:00 – 14:00, May 9, New York Time
17:00 – 20:00, May 9, Paris Time
20:30 – 23:30, May 9, Kolkata Time
23:00 – 2:00 (+1 day) May 9, Beijing Time
Ethical challenges for Autonomous and Multiagent Systems
Organizer: Jim Torresen (University of Oslo)*
Duration: 2 hours
Website: https://jimtoer.no/tutorials-workshops/AAMAS-2022-Tutorial-JimTorresen-web.html
19:00 – 21:00, May 9, Auckland Time
3:00 – 5:00, May 9, New York Time
9:00 – 11:00, May 9, Paris Time
12:30 – 14:30, May 9, Kolkata Time
15:00 – 17:00 May 9, Beijing Time
Explainability in Machine Learning: A basic introduction for the uninitiated
Organizer: Vaishak Belle (University of Edinburgh)*
Duration: 3 hours
21:00 – 24:00, May 9, Auckland Time
5:00 – 8:00, May 9, New York Time
11:00 – 14:00, May 9, Paris Time
14:30 – 17:30, May 9, Kolkata Time
17:00 – 20:00 May 9, Beijing Time
Recent Advances in Multi-Agent Path Finding
Organizers: Jiaoyang Li (University of Southern California); Daniel Harabor (Monash University)*; Sven Koenig (University of Southern California); Ariel Felner (BGU)
Duration: 2 hours
16:00 – 18:00, May 10, Auckland Time
0:00 – 2:00, May 10, New York Time
6:00 – 8:00, May 10, Paris Time
9:30 – 11:30, May 10, Kolkata Time
12:00 – 14:00 May 10, Beijing Time
Scalable Agent-based Discussion Platforms: Foundations, Development, and Applications
Organizers: Rafik Hadfi (Kyoto University)*; Takayuki Ito (Kyoto University); Sofia Sahab (Kyoto University)
Duration: 3 hours
19:00 – 22:00, May 10, Auckland Time
3:00 – 6:00, May 10, New York Time
9:00 – 12:00, May 10, Paris Time
12:30 – 15:30, May 10, Kolkata Time
15:00 – 18:00, May 10, Beijing Time
Graph Neural Networks: Learning Representations of Robot Team Coordination Problems
Organizers: Matthew Gombolay (Georgia Institute of Technology)*; Zheyuan Wang (Georgia Institute of Technology)
Duration: 3 hours
Website: https://core-robotics.gatech.edu/2022/01/18/aamas2022_tutorial_gnn_robot/
3:00 – 6:00, May 9, Auckland Time
11:00 – 14:00, May 8, New York Time
17:00 – 20:00, May 8, Paris Time
20:30 – 23:30, May 8, Kolkata Time
23:00 – 2:00 (+1 day) May 8, Beijing Time
Multi-Agent Systems Approaches for COVID-19 and Future Pandemics
Organizer: Amulya Yadav (Pennsylvania State University)*
Duration: 3 hours
11:00 – 14:00, May 10, Auckland Time
19:00 – 22:00, May 9, New York Time
1:00 – 4:00, May 10, Paris Time
4:30 – 7:30, May 10, Kolkata Time
7:00 – 10:00, May 10, Beijing Time