Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

In this paper we study a class of modified policy iteration algorithms for solving Markov decision problems. These correspond to performing policy evaluation by successive approximations. We discuss ...

This paper describes the development of an air mission planning algorithm for the Joint Stochastic Warfare Analysis Research (JSTOCHWAR). The overall problem scope was to develop an algorithm to ...

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