AIBullisharXiv – CS AI · Mar 56/10
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MAGE: Meta-Reinforcement Learning for Language Agents toward Strategic Exploration and Exploitation
Researchers propose MAGE, a meta-reinforcement learning framework that enables Large Language Model agents to strategically explore and exploit in multi-agent environments. The framework uses multi-episode training with interaction histories and reflections, showing superior performance compared to existing baselines and strong generalization to unseen opponents.