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Multi-armed bandit problem with known trend
7 references·3 citing·32 second hop
Multi-armed bandit problem with known trend (2016)Multi-armed bandit problem with known tre…On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems (2008)On Upper-Confidence Bound Pol…Mortal Multi-Armed Bandits (2008)Mortal Multi-Armed BanditsMulti-armed Bandit, Dynamic Environments and Meta-Bandits (2006)Multi-armed Bandit, Dynamic E…Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…Restless bandits, partial conservation laws and indexability (2001)Restless bandits, partial con…Restless bandits: activity allocation in a changing world (1988)Restless bandits: activity al…Bandit Processes and Dynamic Allocation Indices (1979)Bandit Processes and Dynamic …Nonstationary Bandits with Habituation and Recovery Dynamics (2020)Nonstationary Bandits with Ha…Ensemble Recommendations via Thompson Sampling (2018)Ensemble Recommendations via …Contextual Bandit with Adaptive Feature Extraction (2018)Contextual Bandit with Adapti…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Prediction, Learning, and Games (2006)Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms (2014)A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit (2015)A Change-Detection Based Framework for Piecewise-Stationary Multi-Armed Bandit Problem (2018)The Nonstochastic Multiarmed Bandit Problem (2002)Using confidence bounds for exploitation-exploration trade-offs (2003)Explore/Exploit Schemes for Web Content Optimization (2009)Multi-Armed Bandit with Budget Constraint and Variable Costs (2013)Bandits with concave rewards and convex knapsacks (2014)On an index policy for restless bandits (1990)Multi-Armed Bandit Problems (2007)Adapting to a Changing Environment: the Brownian Restless Bandits. (2008)Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges. (2015)CONTINUOUS INSPECTION SCHEMES (1954)The non-stationary stochastic multi-armed bandit problem (2017)Learning Contextual Bandits in a Non-stationary Environment (2018)Sliding-Window Thompson Sampling for Non-Stationary Settings (2020)Learning diverse rankings with multi-armed bandits (2008)An Empirical Evaluation of Thompson Sampling (2011)Analysis of Thompson Sampling for the multi-armed bandit problem (2011)The Theory of Incentives (2002)Online Display Advertising: Targeting and Obtrusiveness (2011)Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health (2022)Some aspects of the sequential design of experiments (1952)Applied Statistical Decision Theory (1962)Applied Statistical Decision Theory. (1962)Legislative leviathan: party government in the House (1993)The Psychology and Neuroscience of Curiosity (2015)Bandit Algorithms (2020)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)
this work references cited by second hop

References

  • 2002Finite-time Analysis of the Multiarmed Bandit Problem5,980 cited
  • 1979Bandit Processes and Dynamic Allocation Indices1,488 cited
  • 1988Restless bandits: activity allocation in a changing world1,174 cited
  • 2001Restless bandits, partial conservation laws and indexability202 cited
  • 2008On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems172 cited
  • 2008Mortal Multi-Armed Bandits123 cited
  • 2006Multi-armed Bandit, Dynamic Environments and Meta-Bandits72 cited

Cited by

  • 2020Nonstationary Bandits with Habituation and Recovery Dynamics50 cited
  • 2018Ensemble Recommendations via Thompson Sampling30 cited
  • 2018Contextual Bandit with Adaptive Feature Extraction30 cited

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