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README.md
agent.py
config.py
experience.py
game.py
main.py
model.py

README.md

deep-q-tensorflow

TensorFlow implementation of Deep Q-Learning Network (DQN) (Mnih et al., 2013) on classical reinforcement learning problems (cart pole balancing and mountain car). This implementation involves experience replay, fixing target network, double Q-learning.

Refereces:

Mnih, Volodymyr, et al. "Playing atari with deep reinforcement learning." arXiv preprint arXiv:1312.5602 (2013).

Van Hasselt, Hado, Arthur Guez, and David Silver. "Deep reinforcement learning with double Q-learning." CoRR, abs/1509.06461 (2015).

https://github.com/devsisters/DQN-tensorflow

https://github.com/yukezhu/tensorflow-reinforce