23 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.LG2020
Learning as Reinforcement: Applying Principles of Neuroscience for More General Reinforcement Learning Agents
Eric Zelikman, William Yin, Kenneth Wang
A significant challenge in developing AI that can generalize well is designing agents that learn about their world without being told what to learn, and apply that learning to chal…
cs.LG2019★ 23 cited
Batch Active Learning Using Determinantal Point Processes
Erdem Bıyık, Kenneth Wang, Nima Anari +1
Data collection and labeling is one of the main challenges in employing machine learning algorithms in a variety of real-world applications with limited data. While active learning…