Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration
The paper explores efficient exploration techniques in language model alignment It introduces SpannerSampling for optimal data efficiency in reinforcement learningThe study contrasts training-time interventions with computational benefits of multi-turn exploration.It emphasizes leveraging pre-trained models for improved exploration efficiency