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The max K-armed bandit: a new model of exploration applied to search heuristic selection
6 references·5 citing·32 second hop
The max K-armed bandit: a new model of exploration applied to search heuristic selection (2005)The max K-armed bandit: a new model of ex…The Nonstochastic Multiarmed Bandit Problem (2002)The Nonstochastic Multiarmed …Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…A Constraint-Based Method for Project Scheduling with Time Windows (2002)A Constraint-Based Method for…An Introduction to Statistical Modeling of Extreme Values (2001)An Introduction to Statistica…The Continuum-Armed Bandit Problem (1995)The Continuum-Armed Bandit Pr…Bandit Problems, Sequential Allocation of Experiments. (1987)Bandit Problems, Sequential A…Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond (2017)Max K-Armed Bandit: On the Ex…Efficient Multi-Start Strategies for Local Search Algorithms (2011)Efficient Multi-Start Strateg…ε-first policies for budget-limited multi-armed bandits (2010)ε-first policies for budget-l…Learning dynamic algorithm portfolios (2007)Learning dynamic algorithm po…An asymptotically optimal algorithm for the max k-armed bandit problem (2006)An asymptotically optimal alg…Some aspects of the sequential design of experiments (1952)Pure Exploration in Multi-armed Bandits Problems (2009)Efficient Crowdsourcing of Unknown Experts using Multi-Armed Bandits (2012)Resourceful Contextual Bandits (2014)Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits (2015)Scheduling project networks with resource constraints and time windows (1988)A Branch-and-Bound Procedure for the Multiple Resource-Constrained Project Scheduling Problem (1992)Resource-constrained project scheduling: Notation, classification, models, and methods (1999)Generating robust schedules through temporal flexibility (2004)Solving RCPSP/max by lazy clause generation (2012)Development of a Socially Believable Multi-Robot Solution from Town to Home (2014)Stochastic Approximation Methods for Constrained and Unconstrained Systems (1978)Asymptotically efficient allocation rules for the multiarmed bandit problem with multiple plays-Part I: I.I.D. rewards (1987)Improved Rates for the Stochastic Continuum-Armed Bandit Problem (2007)Online linear optimization and adaptive routing (2007)Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms (2014)Gambling in a rigged casino: The adversarial multi-armed bandit problem (2002)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Online Learning and Online Convex Optimization (2011)Online Learning and Online Convex Optimization (2012)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Multivariate stochastic approximation using a simultaneous perturbation gradient approximation (1992)Implementation of the simultaneous perturbation algorithm for stochastic optimization (1998)Idea Generation and the Quality of the Best Idea (2010)Quantitative Risk Management (2011)Top Incomes in the Long Run of History (2011)Bandits Games and Clustering Foundations (2010)Learning by Doing and the Choice of Technology (1996)Linearly Parameterized Bandits (2010)Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms (2011)Prediction, Learning, and Games (2006)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)
this work references cited by second hop

References

  • 2001An Introduction to Statistical Modeling of Extreme Values7,338 cited
  • 2002Finite-time Analysis of the Multiarmed Bandit Problem5,980 cited
  • 2002The Nonstochastic Multiarmed Bandit Problem2,210 cited
  • 1987Bandit Problems, Sequential Allocation of Experiments.566 cited
  • 2002A Constraint-Based Method for Project Scheduling with Time Windows206 cited
  • 1995The Continuum-Armed Bandit Problem201 cited

Cited by

  • 2007Learning dynamic algorithm portfolios107 cited
  • 2010ε-first policies for budget-limited multi-armed bandits83 cited
  • 2006An asymptotically optimal algorithm for the max k-armed bandit problem77 cited
  • 2011Efficient Multi-Start Strategies for Local Search Algorithms69 cited
  • 2017Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond58 cited

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