QUOTE(quovadis123 @ Jan 21 2014, 04:42 PM)
I learnt before for the A star, other than that... I was 1st time hear about fortune, D star, etc.
About the book you recommend, I read through it just now, and I couldn't understand what the book want to tell me about. For example in the chapter 3: Introduction to Markov Decision Process, really confusing and short explanation which rendered it very uninteresting. More or less like a reference book.
It makes an interesting topic become uninteresting. Just my honest opinion.
I'm looking for "How it works?". Thanks for the topics given, will research it soon.
Currently reading the book called "Artificial Intelligence - A modern Approach 3rd edition."

QUOTE(Critical_Fallacy @ Jan 21 2014, 05:50 PM)
This textbook is fairly big and thick in my library shelf.
If you want a non-rigorous mathematical treatment of Markovian Decision Process, try reading
Operations Research books because the prerequisites are basic knowledge of Markov chains, Linear programming, and Probabilistic dynamic programming.

The mathematical dependency is there for a reason. Machine learning is one of the more complex fields at the moment, because they are heavily influenced by the geometric properties of the distribution employed during the learning process. It may start out as "boring" and very theoretical, but this is because suitable distributions are close to non-existent in practice. More often than not, tasks that were originally simple such as computing the parameters for a distribution become exceedingly difficult, particularly when dealing with high dimensional data.
quovadis123 you may choose to read that second book to gain an understanding on how decision making processes work as a whole, but the first book is unavoidable if you want an in-depth view of what's going on.