no code implementations • 4 Sep 2019 • Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh K. Gupta
We propose using reinforcement learning to optimize the operation of energy harvesting sensors to maximize sensing quality with available energy.
no code implementations • 7 Jul 2019 • Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh
We propose two optimization techniques to minimize memory usage and computation while meeting system timing constraints for real-time classification in wearable systems.
no code implementations • 27 Nov 2018 • Francesco Fraternali, Bharathan Balaji, Rajesh Gupta
We show that it is possible to reduce the number of RL policies by using a single policy for nodes that share similar lighting conditions.