1. Acuna, D., Schrater, P.: Improving bayesian reinforcement learning using transition abstraction. In: ICML/UAI/COLT Workshop on Abstraction in Reinforcement Learning. Montreal, Canada (2009)
2. Asmuth, J., Li, L., Littman, M., Nouri, A., Wingate, D.: A bayesian sampling approach to exploration in reinforcement learning. In: UAI, Montreal, Canada (2009)
3. Aston-Jones, G., Cohen, J.D.: An integrative theory of locus coeruleus-norepinephrine function: Adaptive gain and optimal performance. Annu. Rev. Neurosci. 28, 403–450 (2005)
4. Auer, P., Cesa-Bianchi, N., Fischer, P.: Finite-time analysis of the multiarmed bandit problem. Mach. Learn. 47(2), 235–256 (2002a)
5. Auer, P., Cesa-Bianchi, N., Freund, Y., Schapire, R.: The nonstochastic multiarmed bandit problem. SIAM J. Comput. 32(1), 48–77 (2002b)