Google AI's EnvHarness turns static agent benchmarks into adaptive training worlds

EnvHarness, from Google Cloud AI Research, Washington University in St. Louis, and UNC Chapel Hill, is a programmable layer that adapts agent benchmarks to the policy being trained. It shifts LLM agents from learning curated text to learning from dynamic environments.
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