BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems

Autonomous systems, such as Unmanned Aerial Vehicles (UAVs), are expected to run complex reinforcement learning (RL) models to execute fully autonomous position-navigation-time tasks within stringent onboard weight and power constraints. We observe that reducing onboard operating voltage can benefit...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2023 60th ACM/IEEE Design Automation Conference (DAC) S. 1 - 6
Hauptverfasser:	Wan, Zishen, Chandramoorthy, Nandhini, Swaminathan, Karthik, Chen, Pin-Yu, Reddi, Vijay Janapa, Raychowdhury, Arijit
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 09.07.2023
Schlagworte:	Autonomous aerial vehicles Energy efficiency Low voltage Reinforcement learning Robustness Systematics Voltage
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!