starcraft-reinforcement-learning
Reinforcement learning on starcraft using pysc2.
First level: Move to Beacon
I used vanissa policy gradient to solve this environments/
Train the model
python beacon.py --training 1
The model will be saved every 100 epochs into the "logger" folder. The model name is "simple_save".
Load the trained model
python beacon.py --model simple_save --replay 1
--replay 1 is used to save a replay of the game every 10 run.
Load and train the agent
python beacon.py --model simple_save --training 1
Watch a replay
python -m pysc2.bin.play --replay <absolute-path>