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Tuning Bandit Algorithms in Stochastic Environments
4 references·7 citing·29 second hop
Tuning Bandit Algorithms in Stochastic Environments (2007)Tuning Bandit Algorithms in Stochastic En…Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…Sample mean based index policies byO(logn) regret for the multi-armed bandit problem (1995)Sample mean based index polic…Multi-Armed Bandit Allocation Indices. (1990)Multi-Armed Bandit Allocation…Some aspects of the sequential design of experiments (1952)Some aspects of the sequentia…Corruption-tolerant bandit learning (2018)Corruption-tolerant bandit le…Sequential Learning for Multi-Channel Wireless Network Monitoring With Channel Switching Costs (2014)Sequential Learning for Multi…Multi-armed Bandit Problems with History (2012)Multi-armed Bandit Problems w…Leveraging Side Observations in Stochastic Bandits (2012)Leveraging Side Observations …Sequential learning for optimal monitoring of multi-channel wireless networks (2011)Sequential learning for optim…Multi-Bandit Best Arm Identification (2011)Multi-Bandit Best Arm Identif…Solving two‐armed Bernoulli bandit problems using a Bayesian learning automaton (2010)Solving two‐armed Bernoulli b…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)Learning Automata and Stochastic Optimization (1997)Multi-armed Bandit Algorithms and Empirical Evaluation (2005)Thompson Sampling for Dynamic Multi-armed Bandits (2011)Near-Optimal Regret Bounds for Thompson Sampling (2017)The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic (2018)Stochastic Linear Optimization Under Bandit Feedback (2008)Combinatorial Cascading Bandits (2015)Multi-objective Contextual Multi-armed Bandit With a Dominant Objective (2018)Best Arm Identification in Multi-Armed Bandits (2010)Distributed Exploration in Multi-Armed Bandits (2013)Online rank elicitation for Plackett-Luce: a dueling bandits approach (2015)Gambling in a rigged casino: The adversarial multi-armed bandit problem (2002)1Joint Channel Selection and Power Control in Infrastructureless Wireless Networks: A Multi-Player Multi-Armed Bandit Framework (2016)The Nonstochastic Multiarmed Bandit Problem (2002)Regret bounds for sleeping experts and bandits (2010)Linearly Parameterized Bandits (2010)On Upper-Confidence Bound Policies for Switching Bandit Problems (2011)Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms (2011)Prediction, Learning, and Games (2006)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)An Empirical Evaluation of Thompson Sampling (2011)Analysis of Thompson Sampling for the multi-armed bandit problem (2011)Introduction to Multi-Armed Bandits (2019)A Gang of Bandits (2013)Stochastic bandits with side observations on networks (2014)Collaborative Learning of Stochastic Bandits Over a Social Network (2016)
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References

  • 2002Finite-time Analysis of the Multiarmed Bandit Problem5,980 cited
  • 1952Some aspects of the sequential design of experiments2,183 cited
  • 1990Multi-Armed Bandit Allocation Indices.997 cited
  • 1995Sample mean based index policies byO(logn) regret for the multi-armed bandit problem539 cited

Cited by

  • 2010Solving two‐armed Bernoulli bandit problems using a Bayesian learning automaton145 cited
  • 2014Sequential Learning for Multi-Channel Wireless Network Monitoring With Channel Switching Costs83 cited
  • 2012Leveraging Side Observations in Stochastic Bandits68 cited
  • 2011Multi-Bandit Best Arm Identification55 cited
  • 2011Sequential learning for optimal monitoring of multi-channel wireless networks49 cited
  • 2012Multi-armed Bandit Problems with History40 cited
  • 2018Corruption-tolerant bandit learning38 cited

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