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On Sequential Elimination Algorithms for Best-Arm Identification in Multi-Armed Bandits
16 references·0 citing·24 second hopsampled
On Sequential Elimination Algorithms for Best-Arm Identification in Multi-Armed Bandits (2017)On Sequential Elimination Algorithms for …On the Complexity of Best Arm Identification in Multi-Armed Bandit Models (2014)On the Complexity of Best Arm…lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits (2013)lil' UCB : An Optimal Explora…Almost Optimal Exploration in Multi-Armed Bandits (2013)Almost Optimal Exploration in…Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Regret Analysis of Stochastic…Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Regret Analysis of Stochastic…PAC Subset Selection in Stochastic Multi-armed Bandits (2012)PAC Subset Selection in Stoch…Pure exploration in finitely-armed and continuous-armed bandits (2010)Pure exploration in finitely-…Distributed Learning in Multi-Armed Bandit With Multiple Players (2010)Distributed Learning in Multi…Best Arm Identification in Multi-Armed Bandits (2010)Best Arm Identification in Mu…Pure Exploration in Multi-armed Bandits Problems (2009)Pure Exploration in Multi-arm…Multi-Armed Bandit Problems (2007)Multi-Armed Bandit ProblemsAction Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems (2006)Action Elimination and Stoppi…The Sample Complexity of Exploration in the Multi-Armed Bandit Problem (2004)The Sample Complexity of Expl…The Nonstochastic Multiarmed Bandit Problem (2002)The Nonstochastic Multiarmed …PAC Bounds for Multi-armed Bandit and Markov Decision Processes (2002)PAC Bounds for Multi-armed Ba…Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…Some aspects of the sequential design of experiments (1952)Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization (2016)A unified framework for stochastic optimization (2018)Introduction to Multi-Armed Bandits (2019)Prediction, Learning, and Games (2006)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Bandit Algorithms (2020)Gambling in a rigged casino: The adversarial multi-armed bandit problem (2002)Multi-armed Bandit Algorithms and Empirical Evaluation (2005)A Stochastic Approximation Method (1951)Introduction to Online Convex Optimization (2016)Introduction to Online Convex Optimization (2016)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Simple Adaptive Procedure Leading to Correlated Equilibrium (2000)Asymptotically efficient allocation rules for the multiarmed bandit problem with multiple plays-Part I: I.I.D. rewards (1987)Sample mean based index policies by O(log n) regret for the multi-armed bandit problem (1995)1 1 Online Learning of Rested and Restless Bandits (2012)Combinatorial Network Optimization With Unknown Variables: Multi-Armed Bandits With Linear Rewards and Individual Observations (2012)Multi-Armed Bandit Allocation Indices (1989)Multi-Armed Bandit Allocation Indices. (1990)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Associative Reinforcement Learning using Linear Probabilistic Concepts (1999)Beating the adaptive bandit with high probability (2009)Improved Algorithms for Linear Stochastic Bandits (2011)
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References

  • 2002Finite-time Analysis of the Multiarmed Bandit Problem6,033 cited
  • 2002The Nonstochastic Multiarmed Bandit Problem2,229 cited
  • 2012Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems1,483 cited
  • 2012Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems1,302 cited
  • 2014On the Complexity of Best Arm Identification in Multi-Armed Bandit Models790 cited
  • 2010Best Arm Identification in Multi-Armed Bandits448 cited
  • 2006Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems444 cited
  • 2010Distributed Learning in Multi-Armed Bandit With Multiple Players400 cited
  • 2009Pure Exploration in Multi-armed Bandits Problems398 cited
  • 2002PAC Bounds for Multi-armed Bandit and Markov Decision Processes327 cited
  • 2004The Sample Complexity of Exploration in the Multi-Armed Bandit Problem318 cited
  • 2013Almost Optimal Exploration in Multi-Armed Bandits258 cited
  • 2013lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits196 cited
  • 2007Multi-Armed Bandit Problems188 cited
  • 2010Pure exploration in finitely-armed and continuous-armed bandits188 cited

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  • 2012PAC Subset Selection in Stochastic Multi-armed Bandits188 cited
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