ard333 / flappy-bird

Flappy Bird for artificial intelligence/machine learning (Agent available: Q-Learning, SARSA, and combined with Backpropagation)

FlappyBird

Flappy Bird (for artificial intelligence/machine learning)

Based on haolidong repository

Agent available

1. Q-Learning
2. SARSA
3. Q-Learning combined with Backpropagation
4. SARSA combined with Backpropagation

References

• R. S. Sutton and A. G. Barto, “Reinforcement learning: An introduction,” in MIT press, 1998.
• P. Abbeel, Reinforcement Learning Lecture Videos 1,2, UC Berkeley CS188, 2014.
• Y. Shu et al, Obstacles Avoidance with Machine Learning Control Methods in Flappy Birds Setting, CS229 Machine Learning Final Projects Stanford University, 2014.
• S. Vaish. Flappy Bird RL by SarvagyaVaish.
• M. Hatem and F. Abdessemed, “Simulation of the Navigation of a Mobile Robot by the Q-Learning using Artificial Neuron Networks,” in Conférence Internationale sur l'Informatique et ses Applications, 2009.
• R. Jaksa et al. “Backpropagation in Supervised and Reinforcement Learning for Mobile Robot Control,” in Proceedings of Computational Intelligence for Modelling, Control and Automation, 1999.
• S. Dini and M. Serrano, Combining Q-Learning with Artificial Neural Networks in an Adaptive Light Seeking Robot, CS81 Adaptive Robotics Final Projects Swarthmore College, 2012.