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We release WALL-E 2.0 (code) to improve the world model for LLM-based embodied agents. TL;DR: WALL-E 2.0 = Neuro-Symbolic World Model + MPC-based LLM Agent, where Neuro-Symbolic World Model = LLM + Complementary Symbolic knowledge (action rules, scene graph, knowledge graph) extracted from LLM errors in experiences.