Sequential learning, reference request.

Question

I would like to find a book (or link) for a master math student about the following topics.

I don't know the field and I don't want to be lost in details so it should be a straightforward resource, please.

I'm a math student but I would like to apply myself to artificial intelligence, so I would like the books to be applied and contain images. Illustrations (graph of function, schema) are important to me, as well as examples and remarks.

1) Learning with expert advices, adversarial environment, mirror descent.

2) Learning in an unknown environment, exploration/exploitation trade-off, information-theoretic lower bounds.

Thank you for your help.

Answer 1

Here are lists of books and papers which you may helpful.

Introductory books:

• Introduction to artificial intelligence and expert systems
• Introduction to artificial intelligence
• Artificial intelligence: a modern approach
• Principles of artificial intelligence
• The handbook of artificial intelligence
• An artificial intelligence approach
• Logical foundations of artificial intelligence

More specialized sources:

• Adversarial reinforcement learning
• Minimax policies for adversarial and stochastic bandits
• Design of network topology in an adversarial environment
• Mirror descent
• The information geometry of mirror descent
• Path planning approach in unknown environment
• How to learn an unknown environment
• Impedance learning for robots interacting with unknown environments
• Exploitation trade-off
• Surpassing the information theoretic bound with fusion trees
• An information theoretic lower bound for the longest common subsequence problem
• Information-theoretic lower bounds on the oracle complexity of convex optimization