Pytorch-DDQN implemantaion on Super Mario Brothers
This project implements the paper Human-level control through Deep Reinforcement Learning and Deep Reinforcement Learning with Double Q-learning.
Required
- Human-level control through Deep Reinforcement Learning
- Deep Reinforcement Learning with Double Q-learning
- Going Deeper Into Reinforcement Learning: Understanding Deep-Q-Networks
- Frame Skipping and Pre-Processing for Deep Q-Networks on Atari 2600 Games
- Demystifying Deep Reinforcement Learning
Result
