Tag

#multi-agent reinforcement learning

2 articles

Google DeepMind’s Research Lets an LLM Rewrite Its Own Game Theory Algorithms — And It Outperformed the Experts

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.

Apr 38

research

Google DeepMind Researchers Apply Semantic Evolution to Create Non Intuitive VAD-CFR and SHOR-PSRO Variants for Superior Algorithmic Convergence

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.

Feb 2373