Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...

Multi-Objective Reinforcement Learning (MORL) is an emerging field that extends the conventional reinforcement learning paradigm by enabling agents to optimise multiple conflicting objectives ...

Psychiatrists and neuroscientists are taking a major step toward objective mental health diagnosis by launching a central reference database for the classification and communication of mental health ...

Objective The objective of this gap map is to provide an overview of existing evidence on the health of South Asian migrants and refugees in Australia and highlight research gaps.Method We searched ...