Share
Risk-Sensitive Reinforcement Learning via Policy Gradient Search (Foundations and Trends(R) in Machine Learning) (in English)
Prashanth L A; Michael C Fu (Author)
·
Now Publishers
· Paperback
Risk-Sensitive Reinforcement Learning via Policy Gradient Search (Foundations and Trends(R) in Machine Learning) (in English) - Prashanth L A; Michael C Fu
$ 83.37
$ 99.00
You save: $ 15.63
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, May 27 and
Tuesday, May 28.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Risk-Sensitive Reinforcement Learning via Policy Gradient Search (Foundations and Trends(R) in Machine Learning) (in English)"
Reinforcement learning (RL) is one of the foundational pillars of artificial intelligence and machine learning. An important consideration in any optimization or control problem is the notion of risk, but its incorporation into RL has been a fairly recent development. This monograph surveys research on risk-sensitive RL that uses policy gradient search. The authors survey some of the recent work in this area specifically where policy gradient search is the solution approach. In the first risk-sensitive RL setting, they cover popular risk measures based on variance, conditional value at-risk and chance constraints, and present a template for policy gradient-based risk-sensitive RL algorithms using a Lagrangian formulation. For the setting where risk is incorporated directly into the objective function, they consider an exponential utility formulation, cumulative prospect theory, and coherent risk measures. Written for novices and experts alike the authors have made the text completely self-contained but also organized in a manner that allows expert readers to skip background chapters. This is a complete guide for students and researchers working on this aspect of machine learning.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
