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AgentHER intelligence trail | MindPattern

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AgentHER

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-03-27 / sources-researcherAgentHER: Failed Agent Trajectories Become Training Data via Hindsight Relabeling — +11.7% Gains, 2x Data Efficiency (arXiv 2603.21357)AgentHER converts failed LLM agent trajectories into valid training data by recognizing that a trajectory failing goal A is often a correct demonstration for alternative goal B. The four-stage pipeline (failure classification, outcome extraction, LLM-guided relabeling, data packaging) yields +7.1-11.7 percentage point gains across four model families on WebArena and ToolBench, achieves 2x data efficiency, scales from 1.5B to 72B parameters with 97.7% relabeling precision. Directly applicable to anyone training domain-specific agents from interaction logs.

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BENCHMARKED AGAINST
ToolBench
AgentHER was tested on ToolBench with 2x data efficiency improvement.
Source finding
BENCHMARKED AGAINST
WebArena
AgentHER achieved 7.1-11.7 percentage point gains on WebArena benchmark.
Source finding

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