The application of reinforcement learning (RL) to algorithmic trading is, in many ways, a perfect match. Trading is fundamentally a problem of making decisions under uncertainty, and reinforcement learning is a family of methods for solving such problems. Indeed, many researcher…
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Safety systems are designed to prevent the occurrence of certain conditions and their future development into a hazardous situation. The consequence of the failure of a safety system of a potentially hazardous industrial system or process varies from minor inconvenience and cost…
Dynamically Coupled Socioeconomic system dynamics models integrated with physically-based Environmental Models (DCSEM) can aid in resolving complex environmental problems involving dynamic interactions between socioeconomic and biophysical systems. DCSEMs are promising tools for…
This dissertation confronts the difficulty in explaining the market pressures against the rupiah and the won during their currency crises of 1997–98. The crises are viewed in the context of multiple equilibria in financial markets, where the sudden rise in the market pressure is…
The random dynamics of a population evolving in time is a phenomenon worthy of mathematical study. From examining genetic drift and tracing genetic diseases to the recent increased interest in genetic ancestry reports, it is clear that there is a strong need for deepening and ex…