Home /Research /OpenAI single-agent LLM architecture reduces computational overhead relative to multi-agent orchestration in a simulated mars rover decision-support benchmark.
LEARNING

OpenAI single-agent LLM architecture reduces computational overhead relative to multi-agent orchestration in a simulated mars rover decision-support benchmark.

Sanabria D

Year
2026
Journal
Frontiers in robotics and AI

Keywords

LLMsingle-agentcomputational overheadmars roverdecision-support

Related papers

Browse all LEARNING papers