Multi-Objective Reinforcement Learning (MORL) is an emerging field that extends the conventional reinforcement learning paradigm by enabling agents to optimise multiple conflicting objectives ...
Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.
The rapid rise of electric vehicles combined with breakthroughs in autonomous driving technology is reshaping the future of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results