most citedMA2RL: Masked Autoencoders for Generalizable Multi-Agent Reinforcement Learning

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cs.AI2024

Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning

Hao Ma, Tianyi Hu, Zhiqiang Pu +4

Reinforcement learning (RL) has emerged as a pivotal technique for fine-tuning large language models (LLMs) on specific tasks. However, prevailing RL fine-tuning methods predominan…