References

Artzner, P., Delbaen, F., Eber, J.-M., and Heath, D. 1999. Coherent measures of risk. Mathematical finance 9, 3, 203–228.
Bertsekas, D.P. 2012. Dynamic programming and optimal control, vol. II, 4th edition. Athena Scientific.
Bertsekas, D.P. 2017. Dynamic programming and optimal control, vol. i. Athena Scientific.
Bertsekas, D. and Tsitsiklis, J. 1996. Neuro-dynamic programming. Athena Scientific.
Kushner, H. and Clark, D. 1978. Stochastic Approximation Methods for Constrained and Unconstrained Systems. Springer-Verlag.
Prashanth, L.A. and Bhatnagar, S. 2025. Gradient-based algorithms for zeroth-order optimization. Foundations and Trends in Optimization 8, 1–3, 1–332.
Robbins, H. and Monro, S. 1951. A stochastic approximation method. The Annals of Mathematical Statistics, 400–407.
Rockafellar, R.T. and Uryasev, S. 2000. Optimization of conditional value-at-risk. Journal of risk 2, 21–42.
Sutton, R. and Barto, A. 1998. Reinforcement learning: An introduction. MIT Press.
Sutton, R.S. 1988. Learning to predict by the methods of temporal differences. Machine Learning 3, 1, 9–44.