Abstract This paper addresses the stochastic user equilibrium (SUE) in the case where the route choice is the multinomial logit model (MNL). Our main finding is that MNL SUE can be formulated and ...

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, ...

This paper reviews a stochastic approach to compartmental modeling. The need for stochasticity in the model is motivated by two examples, one concerned with vanadium depuration in marine organisms and ...

Stochastic modeling is a tool used in investment decision making that uses random variables and yields numerous different results.