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EvoCUA-1.5: Online Reinforcement Learning for Multi-turn Computer-Use Agents
Computer-use agents must solve long-horizon tasks through repeated interaction with partially observable, multimodal desktop environments. Although imitation learning and offline trajectory refinement provide strong priors, static traces cannot cover the causal feedback loop of real computer use: ea
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