Optimal stopping of Markov processes: Hilbert space theory, approximation algorithms, and an application to pricing high-dimensional financial derivatives
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[1] F. Black,et al. The Pricing of Options and Corporate Liabilities , 1973, Journal of Political Economy.
[2] Alʹbert Nikolaevich Shiri︠a︡ev,et al. Optimal stopping rules , 1977 .
[3] David M. Kreps,et al. Martingales and arbitrage in multiperiod securities markets , 1979 .
[4] J. Harrison,et al. Martingales and stochastic integrals in the theory of continuous trading , 1981 .
[5] I. Karatzas. On the pricing of American options , 1988 .
[6] C. Watkins. Learning from delayed rewards , 1989 .
[7] Pierre Priouret,et al. Adaptive Algorithms and Stochastic Approximations , 1990, Applications of Mathematics.
[8] John Rust. Using Randomization to Break the Curse of Dimensionality , 1997 .
[9] Jérôme Barraquand,et al. Numerical Valuation of High Dimensional Multivariate American Securities , 1995, Journal of Financial and Quantitative Analysis.
[10] D. Martineau,et al. Numerical Valuation of High Dimensional , 1995 .
[11] Dimitri P. Bertsekas,et al. Dynamic Programming and Optimal Control, Two Volume Set , 1995 .
[12] Leemon C. Baird,et al. Residual Algorithms: Reinforcement Learning with Function Approximation , 1995, ICML.
[13] John N. Tsitsiklis,et al. Neuro-Dynamic Programming , 1996, Encyclopedia of Machine Learning.
[14] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[15] John N. Tsitsiklis,et al. Analysis of Temporal-Diffference Learning with Function Approximation , 1996, NIPS.
[16] John N. Tsitsiklis,et al. Approximate Solutions to Optimal Stopping Problems , 1996, NIPS.
[17] P. Glasserman,et al. Pricing American-style securities using simulation , 1997 .
[18] Benjamin Van Roy. Learning and value function approximation in complex decision processes , 1998 .
[19] J. J. Yang,et al. Analysis of the SSAP Method for the Numerical Valuation of High-Dimensional Multivariate American Securities , 1999, Algorithmica.