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A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences
7 references·7 citing·30 second hop
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences (2011)A Finite-Time Analysis of Multi-armed Ban…UCB revisited: Improved regret bounds for the stochastic multi-armed bandit problem (2010)UCB revisited: Improved regre…Regret Bounds and Minimax Policies under Partial Monitoring (2010)Regret Bounds and Minimax Pol…An Asymptotically Optimal Bandit Algorithm for Bounded Support Models. (2010)An Asymptotically Optimal Ban…Exploration–exploitation tradeoff using variance estimates in multi-armed bandits (2009)Exploration–exploitation trad…Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…Optimal Adaptive Policies for Sequential Allocation Problems (1996)Optimal Adaptive Policies for…Some aspects of the sequential design of experiments (1952)Some aspects of the sequentia…Multi-Armed Bandits with Fairness Constraints for Distributing Resources to Human Teammates (2020)Multi-Armed Bandits with Fair…Near-Optimal Regret Bounds for Thompson Sampling (2017)Near-Optimal Regret Bounds fo…Control problems in online advertising and benefits of randomized bidding strategies (2016)Control problems in online ad…Optimally Confident UCB: Improved Regret for Finite-Armed Bandits (2015)Optimally Confident UCB: Impr…Exploration vs Exploitation vs Safety: Risk-averse Multi-Armed Bandits (2014)Exploration vs Exploitation v…Robust Risk-Averse Stochastic Multi-armed Bandits (2013)Robust Risk-Averse Stochastic…Information Complexity in Bandit Subset Selection (2013)Information Complexity in Ban…Multi-Armed Bandit Allocation Indices. (1990)The Nonstochastic Multiarmed Bandit Problem (2002)An asymptotically optimal policy for finite support models in the multiarmed bandit problem (2011)Minimal Exploration in Structured Stochastic Bandits (2017)On Bayesian index policies for sequential resource allocation (2018)Bandit Problems, Sequential Allocation of Experiments. (1987)The Multi-Armed Bandit Problem: Decomposition and Computation (1987)On Bayesian Upper Confidence Bounds for Bandit Problems (2012)Kullback–Leibler upper confidence bounds for optimal sequential allocation (2013)A Stochastic Approximation Method (1951)Bandit Processes and Dynamic Allocation Indices (1979)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Prediction, Learning, and Games (2006)Optimistic bayesian sampling in contextual-bandit problems (2012)Regret in Online Combinatorial Optimization (2013)Essays in the Theory of Risk-Bearing. (1972)An Empirical Evaluation of Thompson Sampling (2011)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Knowledge management in metaverse: does knowledge storage matter as a factor affecting adoption and acceptance? (2025)Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems (2006)Best Arm Identification in Multi-Armed Bandits (2010)Best-Arm Identification in Linear Bandits (2014)Combinatorial Pure Exploration of Multi-Armed Bandits (2014)On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning (2014)The multi-armed bandit problem with covariates (2011)The best of both worlds: stochastic and adversarial bandits (2012)Almost Optimal Exploration in Multi-Armed Bandits (2013)The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond (2011)Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis (2012)Intrinsic motivation, curiosity, and learning (2016)
this work references cited by second hop

References

  • 2002Finite-time Analysis of the Multiarmed Bandit Problem5,980 cited
  • 1952Some aspects of the sequential design of experiments2,183 cited
  • 2009Exploration–exploitation tradeoff using variance estimates in multi-armed bandits571 cited
  • 2010UCB revisited: Improved regret bounds for the stochastic multi-armed bandit problem285 cited
  • 1996Optimal Adaptive Policies for Sequential Allocation Problems219 cited
  • 2010Regret Bounds and Minimax Policies under Partial Monitoring213 cited
  • 2010An Asymptotically Optimal Bandit Algorithm for Bounded Support Models.139 cited

Cited by

  • 2017Near-Optimal Regret Bounds for Thompson Sampling118 cited
  • 2013Information Complexity in Bandit Subset Selection107 cited
  • 2014Exploration vs Exploitation vs Safety: Risk-averse Multi-Armed Bandits54 cited
  • 2020Multi-Armed Bandits with Fairness Constraints for Distributing Resources to Human Teammates44 cited
  • 2013Robust Risk-Averse Stochastic Multi-armed Bandits42 cited
  • 2016Control problems in online advertising and benefits of randomized bidding strategies34 cited
  • 2015Optimally Confident UCB: Improved Regret for Finite-Armed Bandits34 cited

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