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Code to Control: Synthesizing Parameterized Reactive Controllers

Ahmed, Zergham et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Recent LLM-based approaches to control either invoke a language model to select actions or synthesize world models that require planning at every decision, introducing latency that can limit real-time use. We introduce Code to Control, an approach that synthesizes Python controllers which execute di
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