Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
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[1] D. Lindley. On a Measure of the Information Provided by an Experiment , 1956 .
[2] W. J. Studden,et al. Theory Of Optimal Experiments , 1972 .
[3] Jürgen Schmidhuber,et al. Curious model-building control systems , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.
[4] S. Hochreiter,et al. REINFORCEMENT DRIVEN INFORMATION ACQUISITION IN NONDETERMINISTIC ENVIRONMENTS , 1995 .
[5] K. Chaloner,et al. Bayesian Experimental Design: A Review , 1995 .
[6] Horst Alzer,et al. On some inequalities for the gamma and psi functions , 1997, Math. Comput..
[7] Nuttapong Chentanez,et al. Intrinsically Motivated Reinforcement Learning , 2004, NIPS.
[8] Burr Settles,et al. Active Learning Literature Survey , 2009 .
[9] Pierre Baldi,et al. Bayesian surprise attracts human attention , 2005, Vision Research.
[10] Jürgen Schmidhuber,et al. Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990–2010) , 2010, IEEE Transactions on Autonomous Mental Development.