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

Discrete-time Stochastic Multi-agent Graphical Games with Multiplicative Noise: Reinforcement Learning Solutions

Abstract: This paper considers a discrete time stochastic multi-agent graphical games problem with multiplicative noise based on reinforcement learning. The Bellman optimality equations for ...