Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning
Mar 14, 2025•5 min
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Episode 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
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