✨MOA: Multi-Objective Alignment for Role-Playing Agents
📝 Summary:
MOA is a reinforcement-learning framework for role-playing agents that uses multi-objective optimization and thought-augmented rollout. It simultaneously improves multiple skills like domain knowledge and linguistic style, addressing limitations of prior methods. MOA outperforms strong baselines,...
🔹 Publication Date: Published on Dec 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09756
• PDF: https://arxiv.org/pdf/2512.09756
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For more data science resources:
✓ https://t.me/DataScienceT
#AI #ReinforcementLearning #MultiObjectiveOptimization #RolePlayingAgents #MachineLearning
📝 Summary:
MOA is a reinforcement-learning framework for role-playing agents that uses multi-objective optimization and thought-augmented rollout. It simultaneously improves multiple skills like domain knowledge and linguistic style, addressing limitations of prior methods. MOA outperforms strong baselines,...
🔹 Publication Date: Published on Dec 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09756
• PDF: https://arxiv.org/pdf/2512.09756
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#AI #ReinforcementLearning #MultiObjectiveOptimization #RolePlayingAgents #MachineLearning
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