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LLM agents achieve substantial performance gains by jointly learning credit at both the turn and token generation levels, overcoming limitations of existing single-level credit assignment methods.
Automating the translation of economic intuitions into executable computational experiments is now possible, potentially accelerating the pace of economic research.
