Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
By the time Carnegie Mellon University (CMU) researcher Hans Moravec published his seminal book on robotics “Mind Children” ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Abstract: As heavy vehicles advance toward increased intelligence and modernization, the control of advanced driver assistance systems for ensuring driving safety faces significant challenges. To ...
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback