sequential decision-making often relies on established approaches such as Partially Observable Markov Decision Processes (POMDPs). However, such approaches impose constraints on periodic decision ...

Then we detail the Markov Decision Process generative model that our active inference ... The states of the first and second hidden state factors jointly determine which observation is sampled at each ...

Taking into account the uncertainties in RESs, load demand, and electricity prices, we formulate a Markov decision process for the real-time economic ... As can be seen from the enlarged partial graph ...

In everyday life, we typically encounter water in one of three familiar states—solid, liquid or gas. But there are in fact ...

A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision making. The findings from Princeton neuroscientists may one day improve ...

TikTok announced it’s ‘in the process of restoring service’ in ... There are no updates yet on what TikTok’s partial return means for the other ByteDance-linked apps that users have ...

Following the Muntinlupa RTC’s decision, Sotto’s legal counsel Atty. Enrique Dela Cruz said they are “thankful” for the partial granting of the host-comedian’s writ of habeas data ...

Chocolate or strawberry? Life or death? We make some choices quickly and automatically, relying on mental shortcuts our brains have developed over the years to guide us in the best course of action.

Abstract: We consider risk-sensitive Markov decision processes (MDPs), where the MDP model is influenced by a parameter which takes values in a compact metric space. These situations arise when the ...