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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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Peng Wu

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Open access Sep 2026

Offline Policy Evaluation and Learning with Harm Constraints

Offline policy learning aims to optimize individualized decisions using historical data. However, conventional methods primarily focus on maximizing expected rewards while neglecting individual-level counterfactual harm—cases where the assigned treatment leads to worse outcomes than the control. This can result in over...

Jile Chaoge, Qin-Wei Yang, Jing-Yi Li et al. · 0 citations

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