FIELD NOTES TOPIC
harnesses
3 notes, newest first.
Learning Meta-Skills for Agent Harness Design in Test-Time AI4AI
The preprint studies a Builder model that learns to construct better execution environments for a frozen Target model. Its Meta-Skill encodes when support is needed and what resources to provide; the Builder learns…
ClawGym II: Exploring Black-Box RL on Agent Harness
Researchers present a new framework for reinforcement learning (RL) using complex agent harnesses. This framework is designed to optimize RL more stably and efficiently for long-horizon tasks. The researchers' method…
OpenForgeRL: Train Harness-native Agents in Any Environment
OpenForgeRL is an open-source framework designed to train AI agents end-to-end in various environments using complex harnesses like Claude Code, Codex, and OpenClaw. The framework enables large-scale training by…
