1 INTRODUCTION

2 PHYSICS-INFORMED MACHINE LEARNING (PIML): AN OVERVIEW

3 PHYSICS-INFORMED REINFORCEMENT LEARNING: FUNDAMENTALS, TAXONOMY AND EXAMPLES

4 PIRL: REVIEW AND ANALYSIS

5 OPEN CHALLENGES AND RESEARCH DIRECTIONS

6 CONCLUSIONS