1 Introduction  
2 Background  
2.1 Reinforcement Learning (RL)  
2.2 Knowledge Representation and Reasoning (KRR)  
3 KRR for Efficiency of RL  
4 KRR for Generalization of RL  
5 KRR for Safety/Interpretability of RL  
6 Challenges  
7 Conclusions