The authors developed Segment-Locked Credit Assignment, or SLCA, for outputs that interleave tool invocations with natural-language summaries.
Segment-specific rewards improve reinforcement learning for tool-calling agents
SLCA-GRPO assigns separate advantages to tool calls and natural-language summaries, preventing unrelated summary rewards from distorting tool decisions.
Chinese Tech
Peking University · Shenzhen University · Tencent PCG QQ Team
Research Digest··2 min read
Zhan et al.
Why this paper
From Tencent PCG QQ Team and 2 others
In one line
Decoupling advantage estimation per segment resolves cross-segment credit misattribution in tool-calling RL.
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