Posts

Modern Computational Finance: AAD and Parallel Simulations (Wiley, November 13th 2018)

My book is out on Amazon today. You can read about it in my Medium post:

http://medium.com/@antoine_savine/modern-computational-finance-aad-and-parallel-simulations-c8cd42e7ad6e

A free preview, including Leif Andersen’s preface, is available here:

http://papers.ssrn.com/sol3/papers.cfm?abstract_id=3281877

The companion code is freely available on GitHub:

http://github.com/asavine/CompFinance/wiki

Follow the repo to be notified of updates, extensions and fixes.

I will be answering questions, suggestions and comments on my GoodReads page:

http://www.goodreads.com/author/show/18069638.Antoine_Savine

I put all my years of promoting, teaching and professionally implementing automatic adjoint differentiation (AAD) in this book, yet it took years of working nights and week-ends to (hopefully) get it right. I hope readers find that it was worth the effort.

Antoine Savine

book-1
out now

 

Reinforcement Learning

Reinforcement Learning, Second Edition

Currently reading Sutton and Barto’s book on reinforcement learning (RL):

mitpress.mit.edu/books/reinforcement-learning-second-edition

This is a highly recommended reading, the best resource I could find on the subject and one of the best books I have seen on Machine Learning in general.

The complicated topic of RL is presented in an incremental, pedagogical and natural manner so that the concepts and equations flow naturally and stick in your mind. Somehow, the authors manage to teach RL in a captivating, even addictive manner without sacrificing rigor or completeness, leaving you with a fulfilling feeling of deep understanding of the subject, especially if you try to complete the numerous exercises and programming assignments. Unfortunately, solutions to exercises or assignments are not provided so readers cannot check the correctness of their understanding against the word of god (the authors), although a number of readers posted their own solutions online.