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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Mengmeng Zhou

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#reinforcement learning Oct 2026

Risk-Constrained Authority-Coordinated Multi-Agent Reinforcement Learning for Safe and Energy-Efficient Drilling Optimization

Abstract Drilling-parameter optimization requires coordinated improvement of drilling efficiency and energy utilization while maintaining engineering safety under strongly coupled and time-varying operating conditions. This study proposes a Risk-Constrained Authority-Coordinated Multi-Agent Reinforcement Learning (RCAC...

Zhi Yan, Zhaopeng Zhu, Xianzhi Song et al. · 0 citations
#large language models Oct 2026

A Large Language Model Framework for Risk Cause Interpretation and Mitigation Recommendation in Drilling Operations

Summary When drilling risks such as kick events occur, rapidly identifying the root causes and recommending effective mitigation measures is critical for well control and operational safety. Traditional incident analysis mainly relies on expert experience and rule-based diagnostics, which are time-consuming and often l...

Xianzhi Song, Detao Zhou, Zhaopeng Zhu et al. · 0 citations

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