1. Introduction

2. Preliminaries

3. Overview of Solution Techniques

4. Black-Box Optimization

5. Path Planning

6. Reinforcement Learning

7. Importance Sampling Algorithms

8. Problem Decomposition Techniques

9. Applications

10. Existing Tools

11. Conclusion