Learning of Behavior Trees for Autonomous Agents-Reference-Cited by-同舟云学术

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Learning of Behavior Trees for Autonomous Agents

Published:2019-06 Issue:2 Volume:11 Page:183-189
ISSN:2475-1502
Container-title:IEEE Transactions on Games
language:
Short-container-title:IEEE Trans. Games

Author:

Colledanchise Michele^ORCID,Parasuraman Ramviyas^ORCID,Ogren Petter

Funder

Stiftelsen för Strategisk Forskning

Swedish Maritime Robotics Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/7782673/8736978/08319483.pdf?arnumber=8319483

Cited by 42 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. Hybrid planning techniques;Autonomous Mobile Robots;2024

2. How to early integrate operational diagnosis objectives in model‐driven engineering processes: A methodological proposal based on fault and behavior trees;Systems Engineering;2023-12-26

3. ParliRobo: Participant Lightweight AI Robots for Massively Multiplayer Online Games (MMOGs);Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. Task Switching Model for Acceleration Control of Multi-DOF Manipulator Using Behavior Trees;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

5. Evolving Behavior Trees for Self-Adaptive Source Searching in Indoor Environments;2023 IEEE International Conference on Unmanned Systems (ICUS);2023-10-13

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