7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Tackling Visual Control via Multi-View Exploration Maximization
Mingqi Yuan, Xin Jin, Bo Li +1
We present MEM: Multi-view Exploration Maximization for tackling complex visual control tasks. To the best of our knowledge, MEM is the first approach that combines multi-view repr…
cs.LG2021★ 3 cited
Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning
Mingqi Yuan, Mon-on Pun, Dong Wang +2
Maintaining the long-term exploration capability of the agent remains one of the critical challenges in deep reinforcement learning. A representative solution is to leverage reward…
cs.LG2021★ 7 cited
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare
Ming Yuan, Vikas Kumar, Muhammad Aurangzeb Ahmad +1
Fairness in AI and machine learning systems has become a fundamental problem in the accountability of AI systems. While the need for accountability of AI models is near ubiquitous,…