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Even state-of-the-art language models struggle with exploration and exploitation in complex decision-making tasks, but minimal harness engineering can significantly improve performance.
Language agents can now navigate complex, constrained environments with significantly improved success rates thanks to a new framework that combines multi-plan aggregation with constrained decoding and adaptive re-planning.
