1 INTRODUCTION

2 REINFORCEMENT LEARNING
2.1 Components of Reinforcement Learning Systems
2.2 Solving the Reinforcement Learning Problem
2.3 Categorization of Reinforcement Learning Systems

3 REINFORCEMENT LEARNING FOR AUTONOMOUS DRIVING
3.1 Driving Automation and Reinforcement Learning Approaches
3.2 Autonomous Driving Components and the Application of Reinforcement Learning

4 THREAT MODEL
4.1 Goal
4.2 Knowledge
4.3 Capabilities
4.4 Usage of an Agent

5 ATTACKS
5.1 Categorizing the Attacks against RL
5.2 Attacks against Single-agent RL
5.3 Attacks against Multi-agent RL
5.4 Attacks on Autonomous Driving
5.5 Future Research Directions

6 DEFENSES
6.1 Categorizing the Defenses against RL
6.2 Defenses for Single-agent RL
6.3 Defenses for Multi-agent RL
6.4 Defenses for Autonomous Driving
6.5 Future Research Directions

7 CONCLUDING REMARKS