3 papers
cs.LG2025
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning
Jinyi Liu, Yi Ma, Jianye Hao +4
In recent years, data-driven reinforcement learning (RL), also known as offline RL, have gained significant attention. However, the role of data sampling techniques in offline RL h…
cs.CV2024
Canonical Factors for Hybrid Neural Fields
Brent Yi, Weijia Zeng, Sam Buchanan +1
Factored feature volumes offer a simple way to build more compact, efficient, and intepretable neural fields, but also introduce biases that are not necessarily beneficial for real…
cs.LG2024
Convergence Acceleration in Wireless Federated Learning: A Stackelberg Game Approach
Kaidi Wang, Yi Ma, Mahdi Boloursaz Mashhadi +3
This paper studies issues that arise with respect to the joint optimization for convergence time in federated learning over wireless networks (FLOWN). We consider the criterion and…