127 citations · 182 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 54 cited
Toward Fast, Flexible, and Robust Low-Light Image Enhancement
Long Ma, Tengyu Ma, Risheng Liu +2
Existing low-light image enhancement techniques are mostly not only difficult to deal with both visual quality and computational efficiency but also commonly invalid in unknown com…
cs.LG2019★ 1 cited
On the Expressivity of Neural Networks for Deep Reinforcement Learning
Kefan Dong, Yuping Luo, Tengyu Ma
We compare the model-free reinforcement learning with the model-based approaches through the lens of the expressive power of neural networks for policies, -functions, and dynami…
cs.LG2018★ 127 cited
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Yuping Luo, Huazhe Xu, Yuanzhi Li +3
Model-based reinforcement learning (RL) is considered to be a promising approach to reduce the sample complexity that hinders model-free RL. However, the theoretical understanding…