An LLM-driven framework that jointly proposes robot morphologies and reward functions, using diversity reflection and alternating refinement, claims large efficiency gains over baselines across eight locomotion tasks.
Convergence of alternating optimization
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RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward
An LLM-driven framework that jointly proposes robot morphologies and reward functions, using diversity reflection and alternating refinement, claims large efficiency gains over baselines across eight locomotion tasks.