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pysc2-tutorial

This repository implements a simple rule-based agent and a DQN agent.

Dependencies

• Python 3.6
• Anaconda
• TensorFlow
• PySC2
• Baselines

Getting Started

First, you must install StarCraft II and create an account (it's free). You can refer to the following slides for installation: https://goo.gl/d5L4yD

Next, install the required packages. The following instructions are based on a macOS Sierra environment. When installing Anaconda, please press Enter and select "Yes" all the way through.

wget https://repo.continuum.io/archive/Anaconda3-5.0.0-MacOSX-x86_64.sh
bash Anaconda3-5.0.0-MacOSX-x86_64.sh
source .bash_profile
pip install tensorflow
pip install baselines
pip install pysc2
pip install absl-py

How to run

• scripted agent

python -m pysc2.bin.agent --map Simple64 --agent scripted_agent.simple_agent_protoss.RuleBaseAgent --agent_race protoss

• dqn agent

python dqn_agent/train_mineral_shards.py

Result

• scripted agent

Consistently defeats the computer at the easiest difficulty level.

• dqn agent

Gets stuck around 13-14 points and cannot improve further.

Slide

Slides from a presentation at Taiwan R User Group / MLDM on 2017.10.02: https://goo.gl/oeEFvr

References

deepmind/pysc2 openai/baselines Building a Basic PySC2 Agent chris-chris/pysc2-examples xhujoy/pysc2-agents