English(EN) Belief-Based Maximum Occupancy Principle and Active Inference

新AI框架扩展了智能体的内在激励原则

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-01 04:00

研究人员引入了最大占用原则（MOP）的基于信念的扩展，MOP是智能体的内在激励框架。这种新方法通过整合对隐藏状态的信念推断，使MOP能够在部分可观测的环境中运行。该工作还提出了主动推理的预期自由能的贝尔曼重构，通过值迭代实现离线计算。实验表明，MOP智能体在目标导向的觅食和探索之间取得平衡，而主动推理智能体则专注于具有高实用价值和认知价值的区域。 AI

影响这项研究可能带来更具适应性和目标导向性的AI智能体，使其能够在不确定的环境中有效运行。

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arXiv cs.AI TIER_1 English(EN) · Manolis Mylonas, Rub\'en Moreno Bote · 2026-10-01 04:00

基于信念的最大占用原则与主动推理

arXiv:2609.39342v1 Announce Type: cross Abstract: Intrinsic motivation plays a central role in adaptive and goal-directed behavior by conferring agents reward-independent objectives and biases useful to act in noisy and uncertain environments. Active Inference addresses the probl…

本文如何被排名

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基于信念的最大占用原则与主动推理

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