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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

Author

Bahram Shafai

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Open access 2026

Bridging Learning and Passivity: Integral Reinforcement Learning with SPR Transformation for Multi-Agent Coordination

This paper presents a framework that enables multi-agent systems to learn controllers independently through integral reinforcement learning while guaranteeing modular stability when connected. The framework addresses a gap: existing modular control methods require analytical models and cannot handle learned controllers...

Jie Ren, Bahram Shafai · 0 citations
Conference Jul 2026

Adaptive Observer-Based Optimal Control via Dual Integral Reinforcement Learning

Integral reinforcement learning (IRL) solves the linear quadratic regulator (LQR) problem without requiring the system dynamics matrix, but needs full state measurements. In the absence of states, a dedicated PI observer structure can be used in the learning process, which avoids the limitation of P observer. This pape...

Jie Ren, Bahram Shafai · 0 citations

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