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EP198: Unified DLM Framework
Title: DLM: Unified Decision Language Models for Offline Multi-Agent Sequential Decision Making
Source: http://arxiv.org/abs/2604.23557v1
Summary:
This paper proposes a unified framework that treats multi-agent decision-making as a dialogue-style sequence prediction problem, enabling robust zero-shot generalization across heterogeneous environments. It establishes a foundational approach for scaling multi-agent reinforcement learning by leveraging the flexible architectural interface of large language models.
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By Yun WuTitle: DLM: Unified Decision Language Models for Offline Multi-Agent Sequential Decision Making
Source: http://arxiv.org/abs/2604.23557v1
Summary:
This paper proposes a unified framework that treats multi-agent decision-making as a dialogue-style sequence prediction problem, enabling robust zero-shot generalization across heterogeneous environments. It establishes a foundational approach for scaling multi-agent reinforcement learning by leveraging the flexible architectural interface of large language models.