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ReMix: Calibrated Resampling for Class Imbalance in Deep learning
Class imbalance is a problem of significant importance in applied deep l...
12/03/2020 ∙ by Colin Bellinger, et al. ∙
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Active Measure Reinforcement Learning for Observation Cost Minimization
Standard reinforcement learning (RL) algorithms assume that the observat...
05/26/2020 ∙ by Colin Bellinger, et al. ∙
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Reinforcement Learning in a Physics-Inspired Semi-Markov Environment
Reinforcement learning (RL) has been demonstrated to have great potentia...
04/15/2020 ∙ by Colin Bellinger, et al. ∙
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