标签：tool am up machine Hearthstone game learning wrap cards
I am a legend: Hacking Hearthstone with machine-learning Defcon talk wrap-up: video and slides available but no tool.
Good news! The video and slides of our talk on how to use machine learning for Hearthstone are finally available for those who couldn't come to Defcon.
In this talk, Celine and I demonstrate how to use data analysis to find undervalued cards and how to exploit the game’s structure using machine learning to predict the opponent's deck.
You can see the slides on Slideshare and the video on YouTube:
Why are you not releasing your tool?
One thing you won't see posted, however, is the software tool that we promised to release during our Defcon presentation. Following Defcon, we had a series of conversations with the Hearthstone team about our research. Apparently the email that I sent prior to Defcon didn't reach the right person.
Here is a short summary of what they told us:
-
They like our research on the game/cards balance and are very enthusiastic and supportive about it.
-
On the other hand, they were very concerned that our real-time dashboard, which can predict an opponent's deck, will break the game balance by giving whoever has the tool an unfair advantage.
-
They also expressed concern that such a tool makes the game less fun by taking away some decision-making from the player.
It was a difficult decision - I have invested a lot of our time building our real-time dashboard tool with Celine - but we agree with the Hearthstone team and will not release the tool publicly.
因为暴雪不同意，所以没有发布这个工具。
How about game replays?
Beside predicting an opponent’s deck, the tool was geared to provide replay functionality to improve your game play and it allows us to collect data for our card balance analysis.
However, the game team told us that adding replay functionality to Hearthstone was in the road map.
Additionally as of October 2016, HSReplay offers a better way to collect replays, which is why we won't release a tool to do this either.
How can I learn more about this research?
A more “scientific” treatment of some of the talk results are published in this research paper.
If you want to learn more about applying machine learning to Hearthstone, you can read the following blog posts:
- How to price Hearthstone cards: Presents the card pricing model used in the follow-up posts to find undervalued cards.
- How to find undervalued cards automatically: Builds on the pricing model to find undervalued cards automatically.
- Pricing special cards: Showcases how to appraise the cost of cards that have complex effects, like VanCleef.
- Predicting your Hearthstone’s opponent deck: Demonstrates how to use machine learning to predict what the opponent will play.
- Predicting Hearthstone game outcomes with machine learning: Discusses how to apply machine learning to predict game outcomes.
好像漏掉了一篇文章，详情还是看https://elie.net/tag/hearthstone/
How to appraise Hearthstone card values
How to find undervalued Hearthstone cards automatically
I am a legend: hacking hearthstone with machine learning
Pricing hearthstone cards with unique abilities: VanCleef and The Twilight Drake
Edwin VanCleef
艾德温·范克里夫
"LocStringZhCn": "<b>连击：</b>在本回合中，你每使用一张其他牌，便获得+2/+2。",
Twilight Drake
暮光幼龙
"LocStringZhCn": "<b>战吼：</b>\n你每有一张手牌，便获得+1生命值。",
Predicting a Hearthstone opponent’s deck using machine learning
I am a legend: Hacking Hearthstone with machine-learning Defcon talk wrap-up
Hearthstone 3d card viewer in pure javascript/css3
Predicting Hearthstone game outcome with machine learning 预测对战结局
I am a legend hacking hearthstone using statistical learning methods
标签：tool,am,up,machine,Hearthstone,game,learning,wrap,cards 来源： https://www.cnblogs.com/chucklu/p/11382248.html
本站声明： 1. iCode9 技术分享网（下文简称本站）提供的所有内容，仅供技术学习、探讨和分享； 2. 关于本站的所有留言、评论、转载及引用，纯属内容发起人的个人观点，与本站观点和立场无关； 3. 关于本站的所有言论和文字，纯属内容发起人的个人观点，与本站观点和立场无关； 4. 本站文章均是网友提供，不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属；如您发现该文章侵犯了您的权益，可联系我们第一时间进行删除； 5. 本站为非盈利性的个人网站，所有内容不会用来进行牟利，也不会利用任何形式的广告来间接获益，纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。