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Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
Published 1 year, 5 months ago
Description
- The paper optimizes test-time compute as a meta-reinforcement learning problem
- It emphasizes balancing exploration and exploitation to minimize cumulative regret
- Meta Reinforcement Fine-Tuning (MRT) improves performance and token efficiency