3 papers
cs.LG2025
Active Policy Improvement from Multiple Black-box Oracles
Xuefeng Liu, Takuma Yoneda, Chaoqi Wang +2
Reinforcement learning (RL) has made significant strides in various complex domains. However, identifying an effective policy via RL often necessitates extensive exploration. Imita…
cs.LG2025
Efficient Online Decision Tree Learning with Active Feature Acquisition
Arman Rahbar, Ziyu Ye, Yuxin Chen +1
Constructing decision trees online is a classical machine learning problem. Existing works often assume that features are readily available for each incoming data point. However, i…
cs.LG2025
Contextual Active Model Selection
Xuefeng Liu, Fangfang Xia, Rick L. Stevens +1
While training models and labeling data are resource-intensive, a wealth of pre-trained models and unlabeled data exists. To effectively utilize these resources, we present an appr…