Google DeepMind’s Latest Machine Learning Breakthrough Revolutionizes Reinforcement Learning with Mixture-of-Experts for Superior Model Scalability and Performance

Recent advancements in (self) supervised learning models have been driven by empirical scaling laws, where a model’s performance scales with its size. However, such scaling laws have been challenging to establish in reinforcement learning (RL). Unlike supervised learning, increasing the parameter count of an RL model often leads to decreased performance. This paper investigates the […]

The post Google DeepMind’s Latest Machine Learning Breakthrough Revolutionizes Reinforcement Learning with Mixture-of-Experts for Superior Model Scalability and Performance appeared first on MarkTechPost.

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