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20222026
most citedGALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis

8 citations · 8 across the 2 of their papers we have counts for

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cs.AI2024

LLMs for Relational Reasoning: How Far are We?

Zhiming Li, Yushi Cao, Xiufeng Xu +5

Large language models (LLMs) have revolutionized many areas (e.g. natural language processing, software engineering, etc.) by achieving state-of-the-art performance on extensive do…

cs.AI2022★ 8 cited

GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis

Yushi Cao, Zhiming Li, Tianpei Yang +5

Despite achieving superior performance in human-level control problems, unlike humans, deep reinforcement learning (DRL) lacks high-order intelligence (e.g., logic deduction and re…