Who should I trust? Cautiously learning with unreliable experts

Author:

Love TamlinORCID,Ajoodha Ritesh,Rosman Benjamin

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference28 articles.

1. Li L, Chu W, Langford J, Schapire RE (2010) A contextual-bandit approach to personalized news article recommendation. In: Proceedings of the 19th international conference on World Wide Web, pp 661–670

2. Huo X, Fu F (2017) Risk-aware multi-armed bandit problem with application to portfolio selection. R Soc Open Sci 4(11):171377

3. Varatharajah Y, Berry B, Koyejo S, Iyer R (2018) A contextual-bandit-based approach for informed decision-making in clinical trials. J Environ Sci (China) Engl Ed

4. Lauritzen SL, Spiegelhalter DJ (1988) Local computations with probabilities on graphical structures and their application to expert systems. J R Stat Soc Ser B (Methodol) 50(2):157–194

5. Kao H-C, Tang K-F, Chang EY (2018) Context-aware symptom checking for disease diagnosis using hierarchical reinforcement learning. In: Thirty-second AAAI conference on artificial intelligence

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