9 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.AI2020★ 9 cited
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
Jin Zhang, Jianhao Wang, Hao Hu +4
Meta reinforcement learning (meta-RL) extracts knowledge from previous tasks and achieves fast adaptation to new tasks. Despite recent progress, efficient exploration in meta-RL re…
cs.LG2019★ 2 cited
Learning to Adaptively Scale Recurrent Neural Networks
Hao Hu, Liqiang Wang, Guo-Jun Qi
Recent advancements in recurrent neural network (RNN) research have demonstrated the superiority of utilizing multiscale structures in learning temporal representations of time ser…
cs.CV2017★ 3 cited
Global versus Localized Generative Adversarial Nets
Guo-Jun Qi, Liheng Zhang, Hao Hu +3
In this paper, we present a novel localized Generative Adversarial Net (GAN) to learn on the manifold of real data. Compared with the classic GAN that {\em globally} parameterizes…