Combining behavior trees with MAXQ learning to facilitate CGFs behavior modeling-Reference-Cited by-同舟云学术

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Combining behavior trees with MAXQ learning to facilitate CGFs behavior modeling

Published:2017-11 Issue: Volume: Page:
ISSN:
Container-title:2017 4th International Conference on Systems and Informatics (ICSAI)
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Author:

Zhang Qi,Sun Lin,Jiao Peng,Yin Quanjun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8233022/8248252/08248348.pdf?arnumber=8248348

Cited by 9 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. Improving the Performance of Learned Controllers in Behavior Trees Using Value Function Estimates at Switching Boundaries;IEEE Robotics and Automation Letters;2024-05

2. Embedding multi-agent reinforcement learning into behavior trees with unexpected interruptions;Complex & Intelligent Systems;2024-01-25

3. Improving the Performance of Backward Chained Behavior Trees that use Reinforcement Learning;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

4. Safe Explainable Agents for Autonomous Navigation using Evolving Behavior Trees;2023 IEEE International Conference on Assured Autonomy (ICAA);2023-06

5. A Novel Approach for Contextual Clustering and Retrieval of Behavior Trees to Enrich the Behavior of Social Intelligent Agents;Electronics;2023-02-15

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