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cs.LG2020★ 1 cited
Is Q-Learning Provably Efficient? An Extended Analysis
Kushagra Rastogi, Jonathan Lee, Fabrice Harel-Canada +1
This work extends the analysis of the theoretical results presented within the paper Is Q-Learning Provably Efficient? by Jin et al. We include a survey of related research to cont…
eess.AS2020
FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo Data
Aditya Joglekar, John H. L. Hansen, Meena Chandra Shekar +1
The Fearless Steps Initiative by UTDallas-CRSS led to the digitization, recovery, and diarization of 19,000 hours of original analog audio data, as well as the development of algor…