316 citations · 482 across the 11 of their papers we have counts for
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cs.LG2020★ 5 cited
Slot Contrastive Networks: A Contrastive Approach for Representing Objects
Evan Racah, Sarath Chandar
Unsupervised extraction of objects from low-level visual data is an important goal for further progress in machine learning. Existing approaches for representing objects without la…
cs.LG2020★ 5 cited
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
Harm van Seijen, Hadi Nekoei, Evan Racah +1
Deep model-based Reinforcement Learning (RL) has the potential to substantially improve the sample-efficiency of deep RL. While various challenges have long held it back, a number…