AI & Enterprise
KAIST develops AI that creates executable plans, from delivery routing to logistics
KAIST said a research team led by computer science professor Minsoo Kim developed a reinforcement-learning technique, RL-SPH, that trains AI to produce plans that satisfy real-world constraints without external optimisation software. The system searches first for a feasible plan and then reduces cost and time while keeping constraints. In benchmark tests it found feasible plans in all cases, improved solution-quality metrics and reduced search and training time versus other AI methods.
