Advances in reinforcement learning algorithms have made it possible to use them for optimal control in several different industrial applications. With TensorFlow Reinforcement Learning Quick Start Guide, you will apply Reinforcement Learning to a range of problems, from computer games to autonomous driving. (Limited-time offer)
Table of Contents
- Up and Running with Reinforcement Learning
- Temporal Difference, SARSA, and Q-Learning
- Deep Q-Network
- Double DQN, Dueling Architectures, and Rainbow
- Deep Deterministic Policy Gradient
- Asynchronous Methods – A3C and A2C
- Trust Region Policy Optimization and Proximal Policy Optimization
- Deep RL Applied to Autonomous Driving
- Assessment
Download Free PDF / Read Online
Author(s): Kaushik Balakrishnan
Publisher: Packt Publishing
Published: March 2019
Format(s): Online
File size: –
Number of pages: 184
Download / View Link(s): This offer has ended.
Free as of 02/02/2022.
Publisher: Packt Publishing
Published: March 2019
Format(s): Online
File size: –
Number of pages: 184
Download / View Link(s): This offer has ended.
Free as of 02/02/2022.