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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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Ammar Kazm

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Open access Aug 2026

Intelligent Task Offloading and Energy Management for Battery-Less 6G Industrial IoT Using Multi-Agent Deep Reinforcement Learning

A constrained, risk-sensitive multi-agent reinforcement learning framework is presented for joint task offloading and EH scheduling in battery-less 6G industrial networks, yielding a Pareto-non-dominated, statistically validated policy.

G. Marzoog, Ammar Kazm, Mustafa K. Ati · 0 citations

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