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CUA-Sandbox: Efficient Environments for Computer-Use Agent Reinforcement Learning
Reinforcement learning enables computer-use agents to improve through interaction with real software environments, including websites and desktop applications. However, conventional deployments replicate an initialized runtime for each independent rollout, even when trajectories use the same softwar
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