Tool use learned by RL with a decomposed reward — format plus correctness beats SFT imitation.
Qian et al. · arXiv 2025 · Reasoning & RL. Read the paper ↗ A free, interactive, animated visual explainer of ToolRL: Reward is All Tool Learning Needs — every exhibit computed from the real formulas, with verbatim quotes from the source.
Questions #
- What is ToolRL: Reward is All Tool Learning Needs?
- Tool use learned by RL with a decomposed reward — format plus correctness beats SFT imitation.
- Who published ToolRL: Reward is All Tool Learning Needs, and where?
- Qian et al. — arXiv 2025 (arXiv:2504.13958).
- Where can I find a visual explainer of ToolRL: Reward is All Tool Learning Needs?
- Right here — a free, interactive, animated walkthrough of the whole paper, with exhibits computed from the real formulas and verbatim quotes from the source.
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