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

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been ...

https://doi.org/10.2307/2582256 • https://www.jstor.org/stable/2582256 Copy URL This note shows that virtually all the multi-objective and goal-programming ...

ANN ARBOR (WWJ) --The supply chain design software developer LLamasoft this week introduced what it called multi-objective optimization technology that enables businesses to analyze the trade-offs ...

Planning for India's energy future requires addressing multiple and simultaneous economic, social and environmental challenges. While there has been conceptual progress towards harnessing their ...