163 citations · 589 across the 42 of their papers we have counts for
3 papers · 1 filter
Visualizing and Understanding Atari Agents
Sam Greydanus, Anurag Koul, Jonathan Dodge +1
While deep reinforcement learning (deep RL) agents are effective at maximizing rewards, it is often unclear what strategies they use to do so. In this paper, we take a step toward…
Usable & Scalable Learning Over Relational Data With Automatic Language Bias
Jose Picado, Arash Termehchy, Sudhanshu Pathak +3
Relational databases are valuable resources for learning novel and interesting relations and concepts. In order to constraint the search through the large space of candidate defini…
Incorporating Feedback into Tree-based Anomaly Detection
Shubhomoy Das, Weng-Keen Wong, Alan Fern +2
Anomaly detectors are often used to produce a ranked list of statistical anomalies, which are examined by human analysts in order to extract the actual anomalies of interest. Unfor…