Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

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 rapid rise of electric vehicles combined with breakthroughs in autonomous driving technology is reshaping the future of ...

Any objective will have multiple associated risks. How can you aggregate multiple sources of risk to reach a final assessment? One of the problems with traditional risk management, which relies ...