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Understanding Sequential Decisions via Inverse Reinforcement Learning.
This paper develops a discretized stochastic dynamic programming (DSDP) approach for sequential decisions in geosteering operations.
This approach allows for analyzing sequential decisions in evolving SoS architectures.
We discovered that couples move through four phases (Identify, Contemplate, Resolve, Engage) of a complex, dynamic, and iterative decision-making process where multiple, sequential decisions are made.
Revisiting Vietnam and the images of sprightly young G.I.'s so eager to serve, one is reminded how soldiers can be led astray by reckless ideology, shoddy intelligence and liberal hubris; how small, sequential decisions necessitate and compound one another; and how our faith in our own good intentions and our ignorance of local culture can undermine our objectives.
It is shown that when firms at a particular stage of production are relatively dominant, simultaneous merger decisions are conducive to competitive vertically integrated outcomes while sequential decisions are not.
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Advanced Topics in Sequential Decision Making.
This paper is devoted to automated sequential decision in AI.
Andrew Critch, Nishant Desai, and Stuart Russell, ''Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making". In Proc.
In dynamic programming, Veinott made fundamental contributions to sequential decision-making under uncertainty.
Research focus: "I currently work on computational stochastic optimization, specifically high-dimensional and sequential decision problems.
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