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Distributed cooperative decision-making in multiarmed bandits: Frequentist and Bayesian algorithms
6 references·10 citing·26 second hop
Distributed cooperative decision-making in multiarmed bandits: Frequentist and Bayesian algorithms (2016)Distributed cooperative decision-making i…Decentralized Learning for Multiplayer Multiarmed Bandits (2014)Decentralized Learning for Mu…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…On Bayesian Upper Confidence Bounds for Bandit Problems (2012)On Bayesian Upper Confidence …Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…Asymptotically efficient allocation rules for the multiarmed bandit problem with multiple plays-Part I: I.I.D. rewards (1987)Asymptotically efficient allo…Federated Bandit: A Gossiping Approach (2021)Federated Bandit: A Gossiping…Distributed cooperative decision making in multi-agent multi-armed bandits (2021)Distributed cooperative decis…Game of Thrones: Fully Distributed Learning for Multiplayer Bandits (2020)Game of Thrones: Fully Distri…Differentially-Private Federated Linear Bandits (2020)Differentially-Private Federa…Cooperative Multi-Agent Bandits with Heavy Tails (2020)Cooperative Multi-Agent Bandi…Social Learning in Multi Agent Multi Armed Bandits (2019)Social Learning in Multi Agen…Optimal Algorithms for Multiplayer Multi-Armed Bandits (2019)Optimal Algorithms for Multip…Social Imitation in Cooperative Multiarmed Bandits: Partition-Based Algorithms with Strictly Local Information (2018)Social Imitation in Cooperati…Multi-armed bandits in multi-agent networks (2017)Multi-armed bandits in multi-…Collaborative Learning of Stochastic Bandits Over a Social Network (2016)Collaborative Learning of Sto…A Stochastic Approximation Method (1951)Prediction, Learning, and Games (2006)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Introduction to Online Convex Optimization (2016)Introduction to Online Convex Optimization (2016)Sample mean based index policies by O(log n) regret for the multi-armed bandit problem (1995)The Complexity of Optimal Queuing Network Control (1999)Channel Selection for Network-Assisted D2D Communication via No-Regret Bandit Learning With Calibrated Forecasting (2014)Distributed Clustering of Linear Bandits in Peer to Peer Networks (2016)Risk-Averse Multi-Armed Bandit Problems Under Mean-Variance Measure (2016)Approximations to the Expected Sample Size of Certain Sequential Tests (1975)Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint (2010)Bandit Algorithms (2020)Multi-Armed Bandit Allocation Indices (1989)Multi-Armed Bandit Allocation Indices. (1990)Bandit Processes and Dynamic Allocation Indices (1979)Analysis of Thompson Sampling for the multi-armed bandit problem (2011)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)The Nonstochastic Multiarmed Bandit Problem (2002)Metric-Free Individual Fairness with Cooperative Contextual Bandits (2020)Associative Reinforcement Learning using Linear Probabilistic Concepts (1999)Beating the adaptive bandit with high probability (2009)Improved Algorithms for Linear Stochastic Bandits (2011)Introduction to Multi-Armed Bandits (2019)Federated Multi-armed Bandits with Personalization (2021)Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits (2022)
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References

  • 2002Finite-time Analysis of the Multiarmed Bandit Problem6,033 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
  • 1987Asymptotically efficient allocation rules for the multiarmed bandit problem with multiple plays-Part I: I.I.D. rewards372 cited
  • 2012On Bayesian Upper Confidence Bounds for Bandit Problems210 cited
  • 2014Decentralized Learning for Multiplayer Multiarmed Bandits158 cited

Cited by

  • 2021Distributed cooperative decision making in multi-agent multi-armed bandits69 cited
  • 2017Multi-armed bandits in multi-agent networks65 cited
  • 2019Social Learning in Multi Agent Multi Armed Bandits50 cited
  • 2016Collaborative Learning of Stochastic Bandits Over a Social Network46 cited
  • 2020Differentially-Private Federated Linear Bandits46 cited
  • 2019Optimal Algorithms for Multiplayer Multi-Armed Bandits42 cited
  • 2018Social Imitation in Cooperative Multiarmed Bandits: Partition-Based Algorithms with Strictly Local Information28 cited
  • 2020Game of Thrones: Fully Distributed Learning for Multiplayer Bandits27 cited
  • 2020

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Cooperative Multi-Agent Bandits with Heavy Tails
27 cited
  • 2021Federated Bandit: A Gossiping Approach26 cited