Mastering Strategy Card Game (Hearthstone) with Improved Techniques

Author:

Xiao Changnan1,Zhang Yongxin1,Huang Xuefeng1,Huang Qinhan1,Chen Jie1,Sun c1

Affiliation:

1. ByteDance

Publisher

IEEE

Reference35 articles.

1. Mastering strategy card game (legends of code and magic) via end-to-end policy and optimistic smooth fictitious play;Xi,2023

2. Agent57: Outperforming the atari human benchmark;Badia

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4. Mastering the game of Go with deep neural networks and tree search

5. Dota 2 with large scale deep reinforcement learning;Berner,2019

Cited by 4 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. Learning With Generalised Card Representations for “Magic: The Gathering”;2024 IEEE Conference on Games (CoG);2024-08-05

3. Mastering Strategy Card Game (Hearthstone) with Improved Techniques;2023 IEEE Conference on Games (CoG);2023-08-21

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

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