1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.RO2024★ 1 cited
Tiny Reinforcement Learning for Quadruped Locomotion using Decision Transformers
Orhan Eren Akgün, Néstor Cuevas, Matheus Farias +1
Resource-constrained robotic platforms are particularly useful for tasks that require low-cost hardware alternatives due to the risk of losing the robot, like in search-and-rescue…
cs.AR2023★ 1 cited
CAMEL: Co-Designing AI Models and Embedded DRAMs for Efficient On-Device Learning
Sai Qian Zhang, Thierry Tambe, Nestor Cuevas +2
On-device learning allows AI models to adapt to user data, thereby enhancing service quality on edge platforms. However, training AI on resource-limited devices poses significant c…