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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 learning
- The study contrasts training-time interventions with computational benefits of multi-turn exploration.
- It emphasizes leveraging pre-trained models for improved exploration efficiency
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By Enoch H. Kang- The paper explores efficient exploration techniques in language model alignment
- It introduces SpannerSampling for optimal data efficiency in reinforcement learning
- The study contrasts training-time interventions with computational benefits of multi-turn exploration.
- It emphasizes leveraging pre-trained models for improved exploration efficiency