Conference
Sep 2026
QXL - A Scalable Hardware Framework for Tabular Q-Learning Inference on RISC-V
Tabular Q-learning is a foundational reinforcement learning (RL) algorithm used in embedded decision-making, yet its inference phase suffers from latency-sensitive memory accesses, creating severe bottlenecks in real-time control systems. To address this, we present QXL, a hardware-software codesigned inference acceler...
C. R, Pruthvi Parate, P. K. et al.
· IEEE International Conferenc... · 0 citations