EricSchles / Open_data_science_east_2016
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#Talk outline
- Understanding Game AI - reinforcement learning
- First example - FlappyBird # ToDo
- Understanding Neural Networks
- Supercharging reinforcement learning with neural networks
- Second example - Tetris
- Understanding Evolutionary models
- Third example - Super Mario Brothers
##References - Intectual
- A formulation of the n-bandit problem: https://www.willamette.edu/~gorr/classes/cs449/Reinforcement/reinforcement1.html
- A curated list of RL resources: http://aikorea.org/awesome-rl/
- How to play mario instructions: http://julian.togelius.com/mariocompetition2009/
- Implementing Newton's method in 10 lines or less: http://danielhomola.com/2016/02/09/newtons-method-with-10-lines-of-python/
##References - Source Code
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