Google Research open-sourced EnvHarness on October 2, a programmable wrapper layer that adapts existing agent training benchmarks by modifying starting conditions, action contracts, and task sequencin…
Google Cloud AI Research, with Washington University in St. Louis and UNC Chapel Hill, released EnvHarness, an Apache-2.0 layer that turns static agent benchmarks into adaptive training environments b…
Researchers introduced EnvHarness, a programmable layer of plug-in components that reshapes static environments for LLM agent learning without modifying underlying logic, and EnvRigger, which synthesi…
Google Cloud AI Research, with researchers from Washington University in St. Louis and UNC Chapel Hill, introduced EnvHarness, a programmable wrapper that adapts AI training environments to target age…