EnvOpt proposes automated optimization of agent environments to improve LLM agent performance
Read the original at arxiv.org→arXiv:2611.07372v1 Announce Type: new Abstract: An LLM agent's cost and success depend on its model, its harness, and its environment. In addition to the widely studied directions of parameter tuning and harness...
Original headline: "EnvOpt: Automated Optimization for Agent Environments"
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- Nov 6, 05:00 UTC arXiv cs.AI lead source EnvOpt: Automated Optimization for Agent Environments