2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2023★ 1 cited
Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules
Eric Pulick, Vladimir Menkov, Yonatan Mintz +2
Reliable real-world deployment of reinforcement learning (RL) methods requires a nuanced understanding of their strengths and weaknesses and how they compare to those of humans. Hu…
cs.LG2022★ 2 cited
The Game of Hidden Rules: A New Kind of Benchmark Challenge for Machine Learning
Eric Pulick, Shubham Bharti, Yiding Chen +4
As machine learning (ML) is more tightly woven into society, it is imperative that we better characterize ML's strengths and limitations if we are to employ it responsibly. Existin…
cs.OH2022
Optimal Layered Defense For Site Protection
Tsvetan Asamov, Emre Yamangil, Endre Boros +2
We present a model for layered security with applications to the protection of sites such as stadiums or large gathering places. We formulate the problem as one of maximizing the c…