Stochastic optimization is an umbrella term that includes over a dozen fragmented
communities, using a patchwork of sometimes overlapping notational systems with …

Abstract The Real Options approach to decision-making has been useful in capturing and
valuing the flexibility inherent in many operating decisions that decision makers are faced …

What is reinforcement learning? How is reinforcement learning different from stochastic
optimization? And finally, can it be used for applications to quantitative finance for my current …

This article considers investment decisions within an uncertain dynamic and duopolistic
framework. Each investment decision involves to determine the timing and the capacity …

In order to encourage manufacturers to replace traditional high-emission equipment with
new ones powered by green technology, alternative regulations, notably equipment subsidy …

Ports worldwide operate in an uncertain environment and compete with nearby ports to
attract cargo. The extent of competition is influenced by the geographical location and …

We investigate the size and timing of investment in adaptation to climate change effects for
ports, when efficiency of investment is uncertain and the market is competitive. We develop a …

Microgrid development is presently limited due to high costs, especially its energy storage
system (ESS) component. ESS subsidy policies, as the main response options, seem …

Social reward, as a significant mechanism explaining the evolution of cooperation, has
attracted great attention both theoretically and experimentally. In this paper, we study the …

This paper elaborates the impacts of government incentives on the private investment
behaviors including the choices of investment timing, capacity, and price under demand …