all Products
Computers
Database
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Graesser, Laura
Select Format
Regular price
$49.99 USD
Regular price
$62.49 USD
Sale price
$49.99 USD
Unit price
per
Shipping calculated at checkout.
The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved remarkable results on a range of problems, from single and multiplayer games-such as Go, Atari games, and DotA 2-to robotics. Foundations of Deep Reinforcement Learning is an introduction to deep RL that uniquely combines both theory and implementation. It starts with intuition, then carefully explains the theory of deep RL algorithms, discusses implementations in its companion software library SLM Lab, and finishes with the practical details of getting deep RL to work.
This guide is ideal for both computer science students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python.
This guide is ideal for both computer science students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python.
- Understand each key aspect of a deep RL problem
- Explore policy- and value-based algorithms, including REINFORCE, SARSA, DQN, Double DQN, and Prioritized Experience Replay (PER)
- Delve into combined algorithms, including Actor-Critic and Proximal Policy Optimization (PPO)
- Understand how algorithms can be parallelized synchronously and asynchronously
- Run algorithms in SLM Lab and learn the practical implementation details for getting deep RL to work
- Explore algorithm benchmark results with tuned hyperparameters
- Understand how deep RL environments are designed
Accessories:
No Accessory
Publisher
ADDISON WESLEY PUB CO INC
Bisac Major Subject
Computers
Binding Type
Paperback
Country Of Origin
US
Number Of Units
1
Length
9.0 Inches
Barcode Indicator
EAN
Width
6.9 Inches
Publication Date
1970-01-01
Height
0.5 Inches
ISBN 10
0135172381
Weight
1.1 Pounds
Book EAN
9780135172384
Target Audiance
Adults
User reviews will be displayed here...
Related products or products you might find interesting
20% OFF
The Bible Recap: Deepen Your Understanding of God's Attributes from Every Book in the Old Testament
Cobble, Tara
$17.21 USD Shop Now
Art & Art Instruction
Art & Art Instruction
20% OFF
Architecture
Window Shopping with Helen Keller: Architecture and Disability in Modern Culture
Serlin, David
$121.96 USD Shop Now
Art & Art Instruction
Biography / Autobiography
Biography / Autobiography
Biography / Autobiography
Tales from the Dancefloor: Manchester / The Warehouse Project / Parklife / Sankeys / The Ha
Lord, Sacha
$30.00 USD Shop Now
Biography / Autobiography