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Learn about the updated Concordia library v2.0 from Google DeepMind in this 55-minute tutorial presented by Alexander (Sasha) Vezhnevets. Explore the enhanced capabilities of this multi-agent simulation framework that builds upon the success of the Concordia Contest held at NeurIPS 2024. Discover what Concordia v2.0 is designed for, understand its structural architecture, and gain practical knowledge on how to begin working with the library to design AI evaluations. The tutorial provides comprehensive coverage of the expanded framework's features for creating robust multi-agent simulations, games, and AI evaluation environments, offering valuable insights for researchers and developers interested in cooperative AI and multi-agent systems.
