EnvHarness
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- Google Researchers Open-Source EnvHarness for Adaptive Agent Training
Google researchers have open-sourced EnvHarness, a framework that adapts training environments to an agent’s weaknesses without modifying the agent, underlying environment, or evaluation system. It wraps existing environments through standard reset() and step() interfaces and includes EnvRigger to identify weaknesses and generate targeted changes. The researchers reported gains of 2.9–3.7 percentage points across WebArena, SWE-bench Verified, and ALFWorld for several tested models.
InfoQ 中文 AI&大模型 · 🔥 3
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