TRACE: Training Reasoning Agents for Causal Exploration with Synthesized Rewards
Results provide evidence that access to a scalable, objective training signal can be a more important constraint than model scale alone, and can make otherwise ambiguous diagnostic reasoning tasks amenable to scalable reinforcement learning.
Rui Sun, Zhan Shi, B. He
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