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PseudoAct: Leveraging Pseudocode Synthesis for Flexible Planning and Action Control in Large Language Model Agents
arXiv:2602.23668v1 Announce Type: new Abstract: Large language model LLM agents typically rely on reactive decisionmaking paradigms such as ReAct, selecting actions conditioned on growing execution histories.
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