Agentic ESOpt: Fine-Tuning Long-Horizon Agents with Minimal GPU Requirements
NationalUniversityofSingapore · hf · 2026-08-19
Agentic ESOpt uses evolution strategies for scalable full-parameter fine-tuning of long-horizon LLM agents. It employs trajectory-level reward-weighted updates and parameter-context co-evolution with minimal GPU requirements.
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