ArtificialIntelligence_ReinforcementLear.epub

Artificial Intelligence: Reinforcement Learning in Python By: The LazyProgrammer Introduction How to Succeed What is Reinforcement Learning? Where to get the Code The Multi-Armed Bandit Tic-Tac-Toe Tic Tac Toe in Code Markov Decision Processes Dynamic Programming Monte Carlo Temporal Difference Learning Function Approximation Conclusion Introduction When people talk about artificial intelligence, they usually don’t mean supervised and unsupervised machine learning. These tasks are pretty trivial compared to what we think of AIs doing - playing chess and Go, driving cars, and beating video games at a superhuman level. Reinforcement learning has recently become popular for doing all of that and more. Much like deep learning, a lot of the theory was discovered in the 70s and 80s but it hasn’t been until recently that we’ve been able to observe first hand the amazing results that are possible. In 2016 we saw AlphaGo beat the world Champion in Go. We saw AIs playing video games like Doom and Super Mario. Self-driving cars have started driving on real roads with other drivers and even carrying pass......