12 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.GT2023
A-PSRO: A Unified Strategy Learning Method with Advantage Function for Normal-form Games
Yudong Hu, Haoran Li, Congying Han +3
Solving Nash equilibrium is the key challenge in normal-form games with large strategy spaces, where open-ended learning frameworks offer an efficient approach. In this work, we pr…
cs.CV2023★ 12 cited
Learning A Sparse Transformer Network for Effective Image Deraining
Xiang Chen, Hao Li, Mingqiang Li +1
Transformers-based methods have achieved significant performance in image deraining as they can model the non-local information which is vital for high-quality image reconstruction…
cs.IT2021★ 1 cited
Blocked and Hierarchical Disentangled Representation From Information Theory Perspective
Ziwen Liu, Mingqiang Li, Congying Han
We propose a novel and theoretical model, blocked and hierarchical variational autoencoder (BHiVAE), to get better-disentangled representation. It is well known that information th…