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All SourcesarXiv
#intrinsic rewards

Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization

Intermediate
Zeyuan Liu, Jeonghye Kim et al.Feb 26arXiv

This paper teaches a language-model agent to explore smarter by combining two ways of learning (on-policy and off-policy) with a simple, self-written memory.

#EMPO#memory-augmented agents#on-policy learning