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Decision Making Photonics: Solving Bandit Problems Using Photons
5 references·0 citing·19 second hop
Decision Making Photonics: Solving Bandit Problems Using Photons (2019)Decision Making Photonics: Solving Bandit…Why is the environment important for decision making? Local reservoir model for choice-based learning (2018)Why is the environment import…Harnessing the Computational Power of Fluids for Optimization of Collective Decision Making (2016)Harnessing the Computational …Distributed Learning in Multi-Armed Bandit With Multiple Players (2010)Distributed Learning in Multi…Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…Some aspects of the sequential design of experiments (1952)Some aspects of the sequentia…A Method of Sampling Inspection (1929)Experimental Determination of the Maximum of a Function (1941)A Stochastic Approximation Method (1951)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)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)Introduction to Multi-Armed Bandits (2019)Multi-Armed Bandit Allocation Indices (1989)Multi-Armed Bandit Allocation Indices. (1990)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)A Difficulty in the Concept of Social Welfare (1950)Algorithmic Game Theory (2007)Neuroeconomics: cross-currents in research on decision-making (2006)Self-referential processing in our brain—A meta-analysis of imaging studies on the self (2006)Neural correlates of cognitive dissonance and choice-induced preference change (2010)
this work references cited by second hop

References

  • 2002Finite-time Analysis of the Multiarmed Bandit Problem6,033 cited
  • 1952Some aspects of the sequential design of experiments2,183 cited
  • 2010Distributed Learning in Multi-Armed Bandit With Multiple Players400 cited
  • 2016Harnessing the Computational Power of Fluids for Optimization of Collective Decision Making40 cited
  • 2018Why is the environment important for decision making? Local reservoir model for choice-based learning10 cited

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