9 citations · 22 across the 7 of their papers we have counts for
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3 papers · 1 filter
cs.LG2022★ 3 cited
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL
Han Wang, Archit Sakhadeo, Adam White +7
The performance of reinforcement learning (RL) agents is sensitive to the choice of hyperparameters. In real-world settings like robotics or industrial control systems, however, te…
cs.LG2022★ 9 cited
DouFu: A Double Fusion Joint Learning Method For Driving Trajectory Representation
Han Wang, Zhou Huang, Xiao Zhou +3
Driving trajectory representation learning is of great significance for various location-based services, such as driving pattern mining and route recommendation. However, previous…
cs.LG2022★ 1 cited
Investigating the Properties of Neural Network Representations in Reinforcement Learning
Han Wang, Erfan Miahi, Martha White +5
In this paper we investigate the properties of representations learned by deep reinforcement learning systems. Much of the early work on representations for reinforcement learning…