ClawGym II provides a sandbox-based execution infrastructure for stable black-box reinforcement learning on agent harnesses. It decouples policy optimization from harness execution using a serving proxy at the model boundary to capture multi-turn trajectories.
HOW THIS AFFECTS YOU
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builderYou can utilize the sandbox infrastructure to isolate task environments during large-scale rollouts.
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researcherYou can scale RL training for long-horizon tasks using this decoupled optimization approach.