Author:
KhudaBukhsh Ashiqur R.,Carbonell Jaime G.,Jansen Peter J.
Publisher
Springer International Publishing
Reference14 articles.
1. Babaioff, M., Sharma, Y., Slivkins, A.: Characterizing truthful multi-armed bandit mechanisms. In: Proceedings of the 10th ACM Conference on Electronic Commerce, pp. 79–88. ACM (2009)
2. Biswas, A., Jain, S., Mandal, D., Narahari, Y.: A truthful budget feasible multi-armed bandit mechanism for crowdsourcing time critical tasks. In: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, pp. 1101–1109. International Foundation for Autonomous Agents and Multiagent Systems (2015)
3. Donmez, P., Carbonell, J.G., Schneider, J.: Efficiently learning the accuracy of labeling sources for selective sampling. In: Proceedings of KDD 2009, p. 259 (2009)
4. Kaelbling, L.P.: Learning in Embedded Systems. MIT Press, Cambridge (1993)
5. Kaelbling, L.P., Littman, M.L., Moore, A.P.: Reinforcement learning: a survey. J. Artif. Intell. Res. 4, 237–285 (1996)
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