21 citations · 23 across the 7 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.LG2022★ 21 cited
Learnware: Small Models Do Big
Zhi-Hua Zhou, Zhi-Hao Tan
There are complaints about current machine learning techniques such as the requirement of a huge amount of training data and proficient training skills, the difficulty of continual…
cs.LG2022★ 1 cited
Open-environment Machine Learning
Zhi-Hua Zhou
Conventional machine learning studies generally assume close-environment scenarios where important factors of the learning process hold invariant. With the great success of machine…
cs.AI2022★ 1 cited
Characterizing the Action-Generalization Gap in Deep Q-Learning
Zhiyuan Zhou, Cameron Allen, Kavosh Asadi +1
We study the action generalization ability of deep Q-learning in discrete action spaces. Generalization is crucial for efficient reinforcement learning (RL) because it allows agent…