DCLN: Diverse Curriculum Learning with Neuroevolution in Six-Player Poker Tournament-Reference-Cited by-同舟云学术

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DCLN: Diverse Curriculum Learning with Neuroevolution in Six-Player Poker Tournament

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:2021 China Automation Congress (CAC)
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Author:

Luo Junren¹,Zhang Wanpeng¹,Yuan Weilin¹,Chen Jing¹

Affiliation:

1. National University of Defense Technology,College of Intelligence Science and Technology,Changsha,China,410073

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9727224/9727236/09727883.pdf?arnumber=9727883

Reference29 articles.

1. Differentiable game mechanics;letcher;Journal of Machine Learning Research,2019

2. Open-ended learning in symmetric zero-sum games;balduzzi;CoRR,2019

3. Diverse auto-curriculum is critical for successful real-world multiagent learning systems;yang;Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems AAMAS '21,2021

4. Revisiting CFR+ and Alternating Updates

5. Generalised weakened fictitious play

Cited by 1 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. Clicked:Curriculum Learning Connects Knowledge Distillation for Four-Player No-Limit Texas Hold’em Poker;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

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