22 citations · 31 across the 12 of their papers we have counts for
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cs.AI2026
Evolutionary System Prompt Learning for Reinforcement Learning in LLMs
Lunjun Zhang, Ryan Chen, Bradly C. Stadie
Building agentic systems that can autonomously self-improve from experience is a longstanding goal of AI. Large language models (LLMs) today primarily self-improve via two mechanis…
cs.AI2020★ 22 cited
World Model as a Graph: Learning Latent Landmarks for Planning
Lunjun Zhang, Ge Yang, Bradly C. Stadie
Planning - the ability to analyze the structure of a problem in the large and decompose it into interrelated subproblems - is a hallmark of human intelligence. While deep reinforce…