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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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Zhongguancun Academy

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2025

STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization

STAR is proposed, an efficient PbRL method that integrates preference margin regularization and policy regularization that improves feedback efficiency and facilitates more robust reward and value function learning.

Fengshuo Bai, Rui Zhao, Hongming Zhang et al. · 5 citations

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