I was inspired by this paper which described few methods to approach for Attention
for Reinforcement Learning
.
I decided that it will be best to implement simplest one.
This implementation don't have to be correct even though it works better than version without Attention
.
# Create and activate virtual environment.
python3 -m venv venv
# Install packages
pip install -r requirements.txt
# Run program
python main.py
To run tensorboard
use this command:
tensorboard --logdir runs
To lint code use this command:
black .
- (Ubuntu) During installation of
tensorboard
I encountered an error that required from me to installpython3-dev
package.