Mathematical model guides allocation of funds and resources for protecting fragile ecosystems

QUT researchers have developed a pioneering mathematical framework to help "pick winners" and maximize limited funding and ...
IEEE

Reinforcement Learning Solutions to Stochastic Multi-Agent Graphical Games With Multiplicative Noise

Abstract: This paper investigates reinforcement learning algorithms for discrete-time stochastic multi-agent graphical games with multiplicative noise. The Bellman optimality equation for stochastic ...
IEEE

Adaptive Optimal Formation Tracking Control for Constrained Multiple Spacecraft Based on Model-Free Differential Graphical Games

Abstract: This paper investigates the problem of adaptive optimal formation tracking control for multiple spacecraft with control input constraints and entirely unknown dynamics. In practical ...