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Risk-Sensitive and Risk-Neutral Multiarmed Bandits
11 references·1 citing·29 second hop
Risk-Sensitive and Risk-Neutral Multiarmed Bandits (2007)Risk-Sensitive and Risk-Neutral Multiarme…Why Imitate, and If So, How? (1998)Why Imitate, and If So, How?Dynamic Allocation Problems in Continuous Time (1994)Dynamic Allocation Problems i…A Short Proof of the Gittins Index Theorem (1994)A Short Proof of the Gittins …On the Gittins Index for Multiarmed Bandits (1992)On the Gittins Index for Mult…Multi-Armed Bandit Allocation Indices. (1990)Multi-Armed Bandit Allocation…Multi-Armed Bandit Allocation Indices (1989)Multi-Armed Bandit Allocation…Branching Bandit Processes (1988)Branching Bandit ProcessesThe Multi-Armed Bandit Problem: Decomposition and Computation (1987)The Multi-Armed Bandit Proble…Extensions of the multiarmed bandit problem: The discounted case (1985)Extensions of the multiarmed …Arm-Acquiring Bandits (1981)Arm-Acquiring BanditsMulti-Armed Bandits and the Gittins Index (1980)Multi-Armed Bandits and the G…Multi-Armed Bandits: Theory and Applications to Online Learning in Networks (2019)Multi-Armed Bandits: Theory a…A Simple Model of Herd Behavior (1992)Learning, Mutation, and Long Run Equilibria in Games (1993)Volunteering as Red Queen Mechanism for Cooperation in Public Goods Games (2002)Evolutionary game dynamics (2003)The Stag Hunt and the Evolution of Social Structure (2003)Evolutionary Game Theory (2011)Bandit Processes and Dynamic Allocation Indices (1979)KULLBACK-LEIBLER UPPER CONFIDENCE BOUNDS FOR OPTIMAL SEQUENTIAL ALLOCATION (2013)Time-Sharing Service Systems. I (1975)The Specification and Estimation of Dynamic Stochastic Discrete Choice Models: A Survey (1989)Multi-Armed Bandit Problems (2007)Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges (2015)A class of solvable singular stochastic control problems (1999)American Options, Multi–armed Bandits, and Optimal Consumption Plans: A Unifying View (2003)Dynamic Learning of Patient Response Types: An Application to Treating Chronic Diseases (2017)Kullback–Leibler upper confidence bounds for optimal sequential allocation (2013)Optimal Adaptive Policies for Sequential Allocation Problems (1996)Restless bandits, partial conservation laws and indexability (2001)Bandit Processes (1983)Mortal Multi-Armed Bandits (2008)Four proofs of Gittins’ multiarmed bandit theorem (2014)Adapting to a Changing Environment: the Brownian Restless Bandits. (2008)Approximation algorithms for restless bandit problems (2010)An Empirical Evaluation of Thompson Sampling (2011)Analysis of Thompson Sampling for the multi-armed bandit problem (2011)Introduction to Multi-Armed Bandits (2019)Restless Bandits, Linear Programming Relaxations, and a Primal-Dual Index Heuristic (2000)An Inverse-Optimization-Based Auction Mechanism to Support a Multiattribute RFQ Process (2003)Adaptation and inertia in dynamic environments (2015)
this work references cited by second hop

References

  • 1990Multi-Armed Bandit Allocation Indices.997 cited
  • 1998Why Imitate, and If So, How?821 cited
  • 1980Multi-Armed Bandits and the Gittins Index515 cited
  • 1987The Multi-Armed Bandit Problem: Decomposition and Computation333 cited
  • 1989Multi-Armed Bandit Allocation Indices280 cited
  • 1985Extensions of the multiarmed bandit problem: The discounted case278 cited
  • 1992On the Gittins Index for Multiarmed Bandits259 cited
  • 1994A Short Proof of the Gittins Index Theorem143 cited
  • 1981Arm-Acquiring Bandits141 cited
  • 1994Dynamic Allocation Problems in Continuous Time107 cited
  • 1988Branching Bandit Processes87 cited

Cited by

  • 2019Multi-Armed Bandits: Theory and Applications to Online Learning in Networks35 cited

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