arxiv
PublishedOctober 8, 2026 at 4:00 AM
RELACE: retrospective likelihood-based action credit estimation for long-horizon language agents
Publisher summary· verbatim
arXiv:2610.07349v1 Announce Type: cross Abstract: Group Relative Policy Optimization (GRPO) avoids a separate critic by estimating advantages from rollout groups. For multi-turn agents, however, trajectory-level supervision provides coarse, noisy credit: terminal rewards do not locate errors and can
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Originally published on arxiv ↗