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Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

May 24, 2022
Xinran Liang, Katherine Shu, Kimin Lee, Pieter Abbeel

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VoynaSlov: A Data Set of Russian Social Media Activity during the 2022 Ukraine-Russia War

May 24, 2022
Chan Young Park, Julia Mendelsohn, Anjalie Field, Yulia Tsvetkov

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Low-rank Optimal Transport: Approximation, Statistics and Debiasing

May 24, 2022
Meyer Scetbon, Marco Cuturi

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Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning

May 30, 2022
Rafael Pina, Varuna De Silva, Joosep Hook, Ahmet Kondoz

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Multibit Tries Packet Classification with Deep Reinforcement Learning

May 17, 2022
Hasibul Jamil, Ning Weng

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On Designing Data Models for Energy Feature Stores

May 09, 2022
Gregor Cerar, Blaž Bertalanič, Anže Pirnat, Andrej Čampa, Carolina Fortuna

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Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training

May 30, 2022
Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy, Decebal Constantin Mocanu, Shiwei Liu

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Computation and Communication Co-Design for Real-Time Monitoring and Control in Multi-Agent Systems

Aug 09, 2021
Vishrant Tripathi, Luca Ballotta, Luca Carlone, Eytan Modiano

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Deep Learning vs. Gradient Boosting: Benchmarking state-of-the-art machine learning algorithms for credit scoring

May 21, 2022
Marc Schmitt

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UnICORNN: A recurrent model for learning very long time dependencies

Mar 09, 2021
T. Konstantin Rusch, Siddhartha Mishra

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