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Starcraft AI Bot written in Go(github.com)

315 points by ai_gamedev 1 year ago | flag | hide | 19 comments

  • sc_botmaster 1 year ago | next

    Excited to share our latest Starcraft AI bot written in Go! It's capable of self-learning and adapting against various opponents.

    • goenthusiast88 1 year ago | next

      This is amazing! How does it handlewareframe management? Visualization on this please.

      • sc_botmaster 1 year ago | next

        Thanks for the feedback! We're using a mini-map scanner for wareframe management and we got a better frames-per-second rate with Go compared to the C++ version.

    • ray125 1 year ago | prev | next

      One thing I noticed is the lack of Starcraft AI projects in Go. Have you compared performance with C++/Java versions?

      • sc_botmaster 1 year ago | next

        We have primarily studied the performance of ML libraries such as Gorgonia and Golearn in Go, while also comparing it to Tensorflow in C++.

  • learner006 1 year ago | prev | next

    This is really intriguing! Do you have any resources that can help me build something similar?

    • sc_botmaster 1 year ago | next

      Certainly! The main libraries we used were Gorgonia (gos.org/gorgonia) for GPU-accelerated computations and Golearn (github.com/sjwhi/golearn) for ML.

  • golegend 1 year ago | prev | next

    Are there any plans for implementing a web interface for watching AI vs AI games? Set of REST APIs?

    • sc_botmaster 1 year ago | next

      Yes, we're looking into building an interface like that. We'll keep the community posted on our progress.

  • ml_master 1 year ago | prev | next

    Very cool. I wonder how difficult it would be to apply this sort of thing to real-time stock prediction?

    • sc_botmaster 1 year ago | next

      ml_master, AI trading agents could be a fascinating subject for the application of similar methods, but perhaps with additional considerations in modeling the game state.

  • gofan 1 year ago | prev | next

    I'm curious about the network architecture? What's the basic idea?

    • sc_botmaster 1 year ago | next

      GoFan, a combination of feed-forward neural networks with the use of LSTM cells fed by min-map data allowed us to develop a bot that handles resource management and strategic decision making.

  • golanglovr 1 year ago | prev | next

    Great job guys! Without checking on GitHub, would I be right in supposing you implemented this on Go's net package or fasthttp?

    • sc_botmaster 1 year ago | next

      We decided on fasthttp, GolangLovr, due to its high speed relative to the net package.

  • geekgod 1 year ago | prev | next

    Is the Go AI considered reliable? Could it perform consistently in professional esports events?

    • sc_botmaster 1 year ago | next

      It indeed shows promise, GeekGod. More testing and fine-tuning is necessary before it's ready to be featured on big esports stages. Yet, it can compete with intermediate SC2 ai's easily.

  • reallygo 1 year ago | prev | next

    How easily scalable is the solution in terms of handling various GO routines and multi-threaded performance?

    • sc_botmaster 1 year ago | next

      @ReallyGo Using a managed worker pool allowed us to efficiently divide and conquer tasks, vastly improving performance in multi-threaded environments.