When comparing Reinforcement Learning: An Introduction vs Computer Vision: Algorithms and Applications, the Slant community recommends Reinforcement Learning: An Introduction for most people. In the question“What are the best resources to learn Machine Learning?” Reinforcement Learning: An Introduction is ranked 9th while Computer Vision: Algorithms and Applications is ranked 14th. The most important reason people chose Reinforcement Learning: An Introduction is:
Written to cover both the subject matter and theory.
Ranked in these QuestionsQuestion Ranking
Pros
Pro Has good balance between technical and non-technical information
Written to cover both the subject matter and theory.
Pro Covers 3 essential reinforcement learning approaches
The second part of the book covers Dynamic Programming, Monte Carlo Methods and Temporal Difference Learning learning methods. They're presented in an interesting way and explained through various examples.
Pro Approachable
Pro Offers lots of real world examples
Pro Free
Available online for free.
Pro Surveys all relevant literature on the subject
Pro Free
Available for free online.
Cons
Con Uses vague terms
Supplementary resources that have formalized the terms used in this book might be needed to fully understand everything.