VLSI and Hardware Implementations using Modern Machine Learning Methods

12 Hardware Realization of Reinforcement Learning Algorithms for Edge Devices

Shaik Mohammed Waseem and Subir Kumar Roy

VLSI Systems Research Group, IIIT Bangalore, Bengaluru, Karnataka, India

1. CONTENTS
2. 12.1 Introduction
3. 12.1.1 Reinforcement Learning and Markov Decision Process
4. 12.1.2 Hardware for Reinforcement Learning at the Edge
5. 12.2 Background
6. 12.3 Hardware Realization of Simple Reinforcement Learning Algorithm
7. 12.3.1 Architecture-Level Description
8. 12.3.2 Flow of Data in the Hardware Architecture
9. 12.4 Results and Analysis of SRL Hardware Architecture
10. 12.5 Q-Learning and SRL Algorithm Applications
11. 12.6 Future Work: Application and Hardware Design Overview
12. 12.6.1 Hardware Design Overview
13. 12.7 Conclusion
14. Acknowledgment
15. References

DOI: ...