224 citations
- Microsoft (Canada)CA10 papers
- Microsoft (United States)US10 papers
- McGill UniversityCA4 papers
- Carnegie Mellon UniversityUS3 papers
- Georgia Institute of TechnologyUS3 papers
- Microsoft Research (United Kingdom)GB3 papers
- Université de MontréalCA3 papers
- Allen Institute for Artificial IntelligenceUS2 papers
- Boise State UniversityUS2 papers
- Centre Universitaire de MilaDZ2 papers
- Microsoft Research New York City (United States)2 papers
- Polytechnique MontréalCA2 papers
Showing 2017Show all
2 papers · 1 filter
cs.LG2017★ 79 cited
Safe Policy Improvement with Baseline Bootstrapping
Romain Laroche, Paul Trichelair, Rémi Tachet des Combes
This paper considers Safe Policy Improvement (SPI) in Batch Reinforcement Learning (Batch RL): from a fixed dataset and without direct access to the true environment, train a polic…
cs.CL2017
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study
John P. Lalor, Hao Wu, Tsendsuren Munkhdalai +1
Interpreting the performance of deep learning models beyond test set accuracy is challenging. Characteristics of individual data points are often not considered during evaluation,…