2 citations · 3 across the 4 of their papers we have counts for
4 papers
Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds
Fan Wang, Pengtao Shao, Yiming Zhang +6
In-Context Reinforcement Learning (ICRL) enables agents to learn automatically and on-the-fly from their interactive experiences. However, a major challenge in scaling up ICRL is t…
Autonomy 2.0: The Quest for Economies of Scale
Shuang Wu, Bo Yu, Shaoshan Liu +1
With the advancement of robotics and AI technologies in the past decade, we have now entered the age of autonomous machines. In this new age of information technology, autonomous m…
Factor Graph Accelerator for LiDAR-Inertial Odometry
Yuhui Hao, Bo Yu, Qiang Liu +2
Factor graph is a graph representing the factorization of a probability distribution function, and has been utilized in many autonomous machine computing tasks, such as localizatio…
PI-BA Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization
Shuzhen Qin, Qiang Liu, Bo Yu +1
Bundle adjustment (BA) is a fundamental optimization technique used in many crucial applications, including 3D scene reconstruction, robotic localization, camera calibration, auton…