Evaluating real-time strategy game states using convolutional neural networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Evaluating real-time strategy game states using convolutional neural networks

Published:2016-09 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE Conference on Computational Intelligence and Games (CIG)
language:
Short-container-title:

Author:

Stanescu Marius,Barriga Nicolas A.,Hess Andy,Buro Michael

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7840092/7860382/07860439.pdf?arnumber=7860439

Cited by 23 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. Deep ensemble learning of tactics to control the main force in a real-time strategy game;Multimedia Tools and Applications;2023-06-24

2. A Case Study of Human-AI Interactions Using Transparent AI-Driven Autonomous Systems for Improved Human-AI Trust Factors;2022 IEEE 3rd International Conference on Human-Machine Systems (ICHMS);2022-11-17

3. GAPCNN with HyPar: Global Average Pooling convolutional neural network with novel NNLU activation function and HYBRID parallelism;Frontiers in Computational Neuroscience;2022-11-15

4. MAIDCRL: Semi-centralized Multi-Agent Influence Dense-CNN Reinforcement Learning;2022 IEEE Conference on Games (CoG);2022-08-21

5. Self-deduction Training Method Based on Deep Reinforcement Learning and Monte Carlo Tree Search;Lecture Notes in Electrical Engineering;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP