Book

TensorFlow Reinforcement Learning Quick Start Guide

This book is an essential guide for anyone interested in Reinforcement Learning. The book provides an actionable reference for Reinforcement Learning algorithms and their applications using TensorFlow and Python. It will help readers leverage the power of algorithms such as Deep Q-Network (DQN), Deep Deterministic Policy Gradients (DDPG), and Proximal Policy Optimization (PPO) to solve challenging control and decision-making problems.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
6h8m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 6h8m total length

1. Up and Running with Reinforcement Learning
2. Temporal Difference, SARSA, and Q-Learning
3. Deep Q-Network
4. Double DQN, Dueling Architectures, and Rainbow
5. Deep Deterministic Policy Gradient
6. Asynchronous Methods - A3C and A2C
7. Trust Region Policy Optimization and Proximal Policy Optimization
8. Deep RL Applied to Autonomous Driving

On this page

Ready to Train Your Team?

Need training for your whole team? Get bulk pricing, LMS integration, and dedicated support.

Trusted by Leading Organizations Worldwide

Join thousands of companies that trust Calibr to power their learning and development initiatives.

Chalet Hotels logo
Pernod Ricard logo
ProMobi logo
Metrique logo
K Raheja Corp logo
Spyne.AI logo
VuNet Systems logo
Procurement Partners logo
vEngage.AI logo
1218 Global logo
TRADEJINI logo
Oben Electric logo
IIT STartups logo
EdTech Digit logo
MindSkillz logo
NewportMed logo

Request Access For Your Organization

Start training your team in minutes!

No credit card required

Related Resources