AAMAS-24 Workshop on Reinforcement Learning in Games (merged with ALA)

• Bilal Kartal (Nvidia)
• Brian Zhang (Carnegie Mellon University)
• Chun Kai Ling (Columbia University)
• David Milec (CTU in Prague, FEL)
• Diego Perez Liebana (Queen Mary University of London)
• Edward Lockhart (Google DeepMind)
• Georgios Piliouras (Singapore University of Technology and Design, Google DeepMind)
• James Wright (University of Alberta)
• Marc Lanctot (Google DeepMind)
• Martin Schmid (Charles Univeristy in Prague, EquiLibre Technilogies)
• Matej Moravcik (EquiLibre Technilogies)
• Michal Sustr (CTU in Prague, FEL)
• Ondrej Kubicek (CTU in Prague, FEL)
• Sam Sokota (Carnegie Mellon University)
• Simon Lucas (Queen Mary University of London)
• Stephanie Milani (Carnegie Mellon University)
• Tristan Cazenave (LAMSADE Universite Paris Dauphine PSL CNRS)
• Viliam Lisy (CTU in Prague, FEL)
• Weiye Zhao (Carnegie Mellon University)

Organizers

The organizing committee consists of experts in games, multiagent reinforcement learning and planning, computational game theory, and machine learning.

David Milec is a Ph.D. student focusing on opponent modeling in large, imperfect information games.

Chun Kai Ling is a Postdoctoral Research Scientist at Columbia University. His interest lies in the intersection of Computational Game Theory and Machine Learning, with a focus on scaling up sequential general-sum solvers. He has served in the program committee for most major AI conferences, including Neurips, ICML, AAAI and ICLR. He also served as the web chair for GameSec 2022.

Viliam Lisy is an associate professor at Czech Technical University in Prague and principal scientist at Avast. His research is focused on computational game theory and its applications in security domains. He previously co-organized the AAAI-17 Workshop on Computer Poker and Imperfect Information Games.