Responsive forestry management is critical to carbon management and climate change
mitigation. The United Nation's Intergovernmental Panel on Climate Change (IPCC) Special …

Birth and death Markov processes can model stochastic physical systems from percolation
to disease spread and, in particular, wildfires. We introduce and analyze a birth-death …

We introduce a novel framework for analyzing reinforcement learning (RL) in continuous
state-action spaces, and use it to prove fast rates of convergence in both off-line and on-line …

Over the past decades, the increase in both frequency and intensity of large-scale wildfires
due to climate change has emerged as a significant natural threat. The pressing need to …

A major effect of climate change today is the increased frequency and intensity of wildfires.
This reality has led to increased research in wildfire response, particularly with …

We introduce the spatiotemporal Markov decision process (STMDP), a special type of
Markov decision process that models sequential decision-making problems which are not …

In the era of rapid technological advancements, cities worldwide are rapidly evolving into
“smart cities,” leveraging technology to enhance the lives of their residents. However, this …

Forest fires are rapidly spreading fires that occur in natural areas, causing significant
damage to ecosystems, property, and human lives. Wildfire detection is essential for …

De siste 50 årene har globale dyrelivsbestander opplevd betraktelig nedgang som har ført til
en biologisk mangfoldskrise hvor et betydelig antall dyrearter har blitt utrydningstruet. Denne …