Exploration based Reinforcement Learning
A tensorflow implementation of 'Count-Based Exploration with Neural Density Model'. It uses PixelCNN to measure the sparsity of one state and give corresponding bonus.
DQN is modified from 'DQN-tensorflow'
PixelCNN is modified from 'gated-pixel-cnn'
python main.py --mode top-pixelcnn
or
python main.py --mode pixelcnn
To reproduce the result of args/6744.json, run python main.py --mode top-pixelcnn --test
The autoencoder mode is not verified yet.
- PixelCNN++ paper with Code
- DQN Code