Unverified50% confidenceFactExact time
The paper proposes Regularized Emphatic Temporal Difference learning (RETD), whose core is a normalized first-order post-shock repair mechanism.
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9/18/2026
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UnverifiedThe ReAct (Reasoning + Acting) paper was the first study to systematically demonstrate the effectiveness of LLMs alternating between reasoning and tool invocation.72% similarVerifiedThe core innovation of ReAct lies in alternating reasoning traces and action steps within the same generation sequence.69% similarUnverifiedReAct的核心思想是让LLM形成Thought→Action→Observation的循环66% similarUnverified激活修补由Meng等人在2022年的ROME论文中广泛推广，其原理是将一次运行中某层的激活值移植到另一次运行中观察输出变化，从而进行因果推断65% similarUnverifiedThe core idea of ReAct is to have LLMs perform explicit reasoning before generating actions, and to feed execution results back to the model as observations to form a closed loop.64% similar
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