RLDISCOVER: LLM-driven co-evolution of reinforcement learning algorithms
LLM-guided program evolution has enabled discoveries in mathematics and computational optimization, raising the prospect of reinforcement learning (RL) algorithms that self-evolve to improve how agents learn. However, realizing this prospect faces two obstacles. Joint search over coupled algorithmic components is diffi...
Hao-Ran Li, Z. Ge, Xiao-Ming Yuan et al.
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