Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game

Published:2020 Issue: Volume: Page:403-418
ISSN:0302-9743
Container-title:Applications of Evolutionary Computation
language:
Short-container-title:

Author:

Montoliu Raúl,Gaina Raluca D.,Pérez-Liebana Diego,Delgado Daniel,Lucas Simon

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-43722-0_26

Reference13 articles.

1. Baier, H., Cowling, P.I.: Evolutionary MCTS for multi-action adversarial games. In: Preceedings of the 2018 IEEE Conference on Computational Intelligence and Games, CIG 2018 (2018). https://doi.org/10.1109/CIG.2018.8490403

2. Bursztein, E.: I am a legend: hacking hearthstone using statistical learning methods. In: 2016 IEEE Conference on Computational Intelligence and Games (CIG) (2016). https://doi.org/10.1109/CIG.2016.7860416

3. Choe, J.S.B., Kim, J.K.: Enhancing Monte Carlo tree search for playing hearthstone. In: Proceedings of the 1st Conference on Games, GOG 2019 (2019)

4. Cowling, P., Powley, E., Whitehouse, D.: Information set Monte Carlo tree search. IEEE Trans. Comput. Intell. AI Games 4, 120–143 (2012). https://doi.org/10.1109/TCIAIG.2012.2200894

5. Communications in Computer and Information Science;A Dockhorn,2018

Cited by 6 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. Introducing Tales of Tribute AI Competition;2024 IEEE Conference on Games (CoG);2024-08-05

2. Summarizing Strategy Card Game AI Competition;2023 IEEE Conference on Games (CoG);2023-08-21

3. Towards sample efficient deep reinforcement learning in collectible card games;Entertainment Computing;2023-08

4. Evolving Evaluation Functions for Collectible Card Game AI;Proceedings of the 14th International Conference on Agents and Artificial Intelligence;2022

5. Developing a Successful Bomberman Agent;Proceedings of the 14th International Conference on Agents and Artificial Intelligence;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

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3