Branching time active inference: Empirical study and complexity class analysis-Reference-Cited by-同舟云学术

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Branching time active inference: Empirical study and complexity class analysis

Published:2022-08 Issue: Volume:152 Page:450-466
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Champion Théophile^ORCID,Bowman Howard^ORCID,Grześ Marek

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference55 articles.

1. Reinforcement learning, fast and slow;Botvinick;Trends in Cognitive Sciences,2019

2. Planning as inference;Botvinick;Trends in Cognitive Sciences,2012

3. Concurrency theory: calculi an automata for modelling untimed and timed concurrent systems;Bowman,2005

4. OpenAI gym;Brockman,2016

5. A survey of Monte Carlo tree search methods;Browne;IEEE Transactions on Computational Intelligence and AI in Games,2012

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Leveraging chaos for enhancing encryption and compression in large cloud data transfers;The Journal of Supercomputing;2024-02-04

2. Efficient Search of Active Inference Policy Spaces Using k-Means;Active Inference;2023

3. Branching Time Active Inference with Bayesian Filtering;Neural Computation;2022-09-12

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