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This article explains how Google DeepMind's AlphaEvolve uses Large Language Models to autonomously evolve game theory algorithms in imperfect information games, outperforming traditional expert-designed methods.
Learn how to set up a robot simulation environment and integrate AI models that can help robots understand and interact with their surroundings, similar to how Agile Robots partners with Google DeepMind.
Google DeepMind researchers have used semantic evolution to create non-intuitive variants of VAD-CFR and SHOR-PSRO algorithms, significantly improving algorithmic convergence in multi-agent reinforcement learning.
