<ul><li>RIG (Reasoning and Imagination in Generalist Policy) is a new approach that combines reasoning and imagination in an end-to-end agent.</li><li>RIG utilizes a data pipeline to integrate and enrich the content of imagination and reasoning in agent trajectories.</li><li>The joint learning of reasoning and next image generation in RIG leads to significant sample efficiency improvements and generalization.</li><li>The synergy of reasoning and imagination in RIG enhances the robustness, generalization, interoperability, and overall performance of the agent.</li></ul>

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy

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