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cs.LG2018
State Distribution-aware Sampling for Deep Q-learning
Weichao Li, Fuxian Huang, Xi Li +2
A critical and challenging problem in reinforcement learning is how to learn the state-action value function from the experience replay buffer and simultaneously keep sample effici…
cs.LG2017★ 2 cited
Boosted Zero-Shot Learning with Semantic Correlation Regularization
Te Pi, Xi Li, Zhongfei +1
We study zero-shot learning (ZSL) as a transfer learning problem, and focus on the two key aspects of ZSL, model effectiveness and model adaptation. For effective modeling, we adop…