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08/10/2022
A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation
We introduce Probabilistic Rank and Reward model (PRR), a scalable proba...
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05/19/2022
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation
Graph Neural Networks (GNNs) have been predominant for graph learning ta...
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01/19/2022
Reinforcement Learning Textbook
This textbook covers principles behind main modern deep reinforcement le...
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07/26/2021
Combining Reward and Rank Signals for Slate Recommendation
We consider the problem of slate recommendation, where the recommender s...
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07/15/2020
Are Hyperbolic Representations in Graphs Created Equal?
Recently there was an increasing interest in applications of graph neura...
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06/24/2019
Modern Deep Reinforcement Learning Algorithms
Recent advances in Reinforcement Learning, grounded on combining classic...
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05/20/2019
Unsupervised Community Detection with Modularity-Based Attention Model
In this paper we take a problem of unsupervised nodes clustering on grap...
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05/30/2018
