Online Learning under Delayed Feedback
Online learning with delayed feedback has received increasing attention recently due to its several applications in distributed, web-based learning problems. In this paper we provide a systematic s...
Online Learning under Delayed Feedback Pooria Joulani, Andras Gyorgy, Csaba Szepesvari Proceedings of the 30th International Conference on Machine Learning , PMLR 28(3):1453-1461, 2013. Abstract Online learning with delayed feedback has received increasing attention recently due to its several applications in distributed, web-based learning problems. In this paper we provide a systematic study of the topic, and analyze the effect of delay on the regret of online learning algorithms. Somewhat surprisingly, it turns out that delay increases the regret in a multiplicative way in adversarial probl
related reading
- Online Learning: A Comprehensive Surveyarxiv.org
- RUDDER - Reinforcement Learning with Delayed Rewards | rudderml-jku.github.io
- Evolution as Backstop for Reinforcement Learning · Gwern.netgwern.net
- Lecture 1: Introduction to Sequence Prediction | CS 8803 Sequence Predictionthejakeyboy.github.io
- Regret in online learning - Cross Validatedstats.stackexchange.com
- course_stat_rl.pdfmit.edu
- Real-time machine learning: challenges and solutionshuyenchip.com
- The Multi-Armed Bandit Problem and Its Solutions | Lil'Loglilianweng.github.io
- 1011.0686arxiv.org
- 2109.10813.pdfarxiv.org
- K V Subrahmanyamcmi.ac.in
- Learning Beyond Gradientstrinkle23897.github.io