LastOrder is a StarCraft AI bot developed by Bilibili AI Lab.
LastOrder uses a pre-trained model to do macro action selection during game. The model combines APE-X DQN with LSTM and is trained distributively on cluster.

The detailed info can be found in:
Macro action selection with deep reinforcement learning in StarCraft

LastOrder comprises of two parts:

• Actor. running the StarCraft client and processing messages with model.
  • In training mode, actor periodically receive updated model from learner.
  • In evaluation mode, actor load the local pre-trained model and run independently without learner.
• Learner. running the training procedure and updating model to actors.

• BWAPI 4.2.0.
• VisualStudio 2017 supplied with the Development Tools for C++.
• Python 3.6 with tensorflow and zmq

• Setting the env variables: BWAPI_DIR, pointing to BWAPI 4.2.0 installation.
• Copy the libzmq_LastOrder.dll into C:\Windows
• Copy pre-trained model data to AI\saved_model

• Python 3.6 with tensorflow and zmq
• StarcraftAITournamentManager