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Mar, 2024
关于主动推理中的预测规划与因果学习
On Predictive planning and counterfactual learning in active inference
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Aswin Paul, Takuya Isomura, Adeel Razi
TL;DR
通过研究主动推理中基于计划和经验学习的两种决策方案，本文提出了一种混合模型，以平衡决策过程，并在挑战性的网格世界情景中评估了该模型的适应性，并分析了各种参数的演变，为智能决策提供了有价值的见解。
Abstract
Given the rapid advancement of
artificial intelligence
, understanding the foundations of intelligent behaviour is increasingly important.
active inference
, regarded as a general theory of behaviour, offers a prin
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