shafeng

AlphaGo

A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.

behaviac

behaviac is a framework of the game AI development, and it also can be used as a rapid game prototype design tool. behaviac supports the behavior tree, finite state machine and hierarchical task network. Behaviors can be designed and debugged in the designer, exported and executed by the game. The designer can only run on the Windows platforms. The run time library is implemented with C++ and C#, and it supports all major platforms (Windows, Linux, Android, iOS, Unity etc.) and Unity. The C++ version is suitable for the client and server side.

hodlminer-wolf

shafeng.github.io

博客

tracy

Frame profiler

shafeng/shafeng.github.io

博客

shafeng/AlphaGo

A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.

shafeng/behaviac

behaviac is a framework of the game AI development, and it also can be used as a rapid game prototype design tool. behaviac supports the behavior tree, finite state machine and hierarchical task network. Behaviors can be designed and debugged in the designer, exported and executed by the game. The designer can only run on the Windows platforms. The run time library is implemented with C++ and C#, and it supports all major platforms (Windows, Linux, Android, iOS, Unity etc.) and Unity. The C++ version is suitable for the client and server side.

shafeng/hodlminer-wolf