• First demo video is on!!! https://youtu.be/z0I1nM6_k0w
• Another demo video with higher quality: https://youtu.be/L6kr_zJKCQI
• First demo video with expert warlock: https://youtu.be/wLvBlKChFW0
• Another demo video played with expert warlock innkeeper: https://youtu.be/yVX8nTo8o00

The AI beats the basic InnKeeper mage-to-mage duel so far (8 - 0).

UNDER DEVELOPMENT!!!!

The is a game bot for HearthStone.

• AlphaGo successfully combines MCTS and deep neural networks to beat human on Go.
• Games with hidden information still a big challenge in many ways.
• Give it a try on Hearhstone.

• There's no HearthStone simulation engine written in C++, so I decided to write one.
• Header-only implementation. No dependency. No need to compile anything!
• The most important goal is speed.
• Written in C++14/C++17.
  • Need gcc 7.0+ or Visual Studio 2017 Preview 2.1+ to compile.
  • Heavily use template programming.
• Profile-guided optimization is integrated in the build script.
• Used in AAIA'17 Data Mining Challenge: Helping AI to Play Hearthstone (https://knowledgepit.fedcsis.org/mod/page/view.php?id=1022)

• Monte Carlo tree search
• Use Multiple-Observer MCTS to handle hidden information
• Share tree nodes for identical boards
• Use neural network in default policy to greatly boost play strength
  • An example: AI should NOT play arcane missiles in first turn.
  • If using random default policy, it takes more than 300k iterations (8G+ RAM) to realize this.
  • If using neural network as default policy, it only takes < 15k iterations (less than 5 seconds) to realize this.

• Use the logging feature in HearthStone
• Written in C# since no critical performance issue occurs here.
• Parse the logs to get a picture of the game board.
• Use the C# coroutine to parse the logs in a cleaner way.

• The automatic play bot is not implemented yet
• Just refer to the move the AI suggested, and do it manually on the game client.

1. Install HearthStone on Windows.
2. Enable logging to HearthStone, so we can know what's the board looks like.
3. Open the C# project under 'ui' folder.
4. Run it.

Just me. Any idea/help is always welcomed.

The newest GPL license is applied to this project.

Some third party libraries are used, please also obey to their licenses.