Deep Learning and Its Applications for Vehicle Networks

7 Deep reinforcement learning applications in connected-automated transportation systems

H. M. Abdul Aziz and Sanjoy Das

Kansas State University, Manhattan, Kansas

DOI: 10.1201/9781003190691-9

Contents

1. 7.1 Introduction
   • 7.1.1 Chapter organization
2. 7.2 Deep reinforcement learning: theory and background
   • 7.2.1 (Deep) reinforcement learning: a brief history
   • 7.2.2 Classical reinforcement learning
     • 7.2.2.1 Value-based RL
     • 7.2.2.2 Policy-based RL
   • 7.2.3 Deep reinforcement learning
     • 7.2.3.1 Deep Q-networks
     • 7.2.3.2 Deep policy networks
     • 7.2.3.3 Deep actor-critic networks
   • 7.2.4 Formulating (deep) reinforcement learning for CAV application
3. 7.3 Data environment in CAV networks
   • 7.3.1 Benefits
   • 7.3.2 Data generated by AVs
4. 7.4 Deep reinforcement learning applications: ...