GroundedAnswersforMulti-agentDecision-making ProblemthroughGenerativeWorldModel

Feb-13-2026, 08:39:07 GMT–Neural Information Processing Systems

Theempirical results demonstrate that this framework can improve the answers for multi-agent decision-making problems by showing superior performance on the training and unseen tasks of the StarCraft Multi-Agent Challenge benchmark.

machine learning, natural language, reinforcement learning, (17 more...)

Neural Information Processing Systems

Feb-13-2026, 08:39:07 GMT

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Grounded Answers for Multi-agent Decision-making Problem through Generative World Model

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