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The dueling bandit problem is a variation of the classical multi-armed bandit in which the allowable actions are noisy comparisons between pairs of arms.
The sample complexity of exploration in the multi-armed bandit problem
Mannor, S. and Tsitsiklis, J. N. (2004) · 2004
Earlier work this paper cites.
Action elimination and stopping conditions for the multi-armed bandit and reinforcement learning problems
Even-Dar, E., Mannor, S., and Mansour, Y. (2006) · 2006
Earlier work this paper cites.
Letor: A benchmark collection for research on learning to rank for information retrieval
Qin, T., Liu, T.-Y., Xu, J., and Li, H. (2010) · 2010
Earlier work this paper cites.
Beat the mean bandit
Yue, Y. and Joachims, T. (2011) · 2011
Earlier work this paper cites.
The k-armed dueling bandits problem
Yue, Y., Broder, J., Kleinberg, R., and Joachims, T. (2012) · 2012
Earlier work this paper cites.
Concentration inequalities: A nonasymptotic theory of independence
Boucheron, S., Lugosi, G., and Massart, P. (2013) · 2013
Cited alongside, same era.
Almost optimal exploration in multi-armed bandits
Karnin, Z., Koren, T., and Somekh, O. (2013) · 2013
Cited alongside, same era.
Introducing letor 4.0 datasets
Qin, T. and Liu, T.-Y. (2013) · 2013
Cited alongside, same era.
Generic exploration and k k -armed voting bandits
Urvoy, T., Clerot, F., Féraud, R., and Naamane, S. (2013) · 2013
Cited alongside, same era.
Reducing dueling bandits to cardinal bandits
Ailon, N., Joachims, T., and Karnin, Z. (2014) · 2014
Later among the works it cites.
lil’ucb : An optimal exploration algorithm for multi-armed bandits
Jamieson, K., Malloy, M., Nowak, R., and Bubeck, S. (2014) · 2014
Later among the works it cites.
On the complexity of best arm identification in multi-armed bandit models
Kaufmann, E., Cappé, O., and Garivier, A. (2014) · 2014
Later among the works it cites.
Relative upper confidence bound for the k-armed dueling bandit problem
Zoghi, M., Whiteson, S., Munos, R., and de Rijke, M. (2013) · 2014
Later among the works it cites.
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