137 citations · 359 across the 56 of their papers we have counts for
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cs.LG2019
A Generalization Theory based on Independent and Task-Identically Distributed Assumption
Guanhua Zheng, Jitao Sang, Houqiang Li +2
Existing generalization theories analyze the generalization performance mainly based on the model complexity and training process. The ignorance of the task properties, which resul…
cs.LG2019★ 2 cited
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization
Qi Zhou, Houqiang Li, Jie Wang
Model-based reinforcement learning algorithms tend to achieve higher sample efficiency than model-free methods. However, due to the inevitable errors of learned models, model-based…
cs.CV2019★ 1 cited
AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups
Feng Lin, Haohang Xu, Houqiang Li +2
Self-supervised learning by predicting transformations has demonstrated outstanding performances in both unsupervised and (semi-)supervised tasks. Among the state-of-the-art method…