41 citations · 83 across the 18 of their papers we have counts for
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cs.LG2021
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning
Muhammad Rizki Maulana, Wee Sun Lee
Ensemble and auxiliary tasks are both well known to improve the performance of machine learning models when data is limited. However, the interaction between these two methods is n…
cs.RO2021★ 1 cited
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects
Xiao Ma, David Hsu, Wee Sun Lee
Manipulating deformable objects, such as ropes and clothing, is a long-standing challenge in robotics, because of their large degrees of freedom, complex non-linear dynamics, and s…
cs.LG2021★ 1 cited
State-Aware Variational Thompson Sampling for Deep Q-Networks
Siddharth Aravindan, Wee Sun Lee
Thompson sampling is a well-known approach for balancing exploration and exploitation in reinforcement learning. It requires the posterior distribution of value-action functions to…