most citedFast Reinforcement Learning for Anti-jamming Communications

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2025

MambaH-Fit: Rethinking Hyper-surface Fitting-based Point Cloud Normal Estimation via State Space Modelling

Weijia Wang, Yuanzhi Su, Pei-Gen Ye +1

We present MambaH-Fit, a state space modelling framework tailored for hyper-surface fitting-based point cloud normal estimation. Existing normal estimation methods often fall short…

eess.SP2020★ 2 cited

Fast Reinforcement Learning for Anti-jamming Communications

Pei-Gen Ye, Yuan-Gen Wang, Jin Li +1

This letter presents a fast reinforcement learning algorithm for anti-jamming communications which chooses previous action with probability and applies -greedy with probabil…