Multi-Objective Reinforcement Learning for Efficient Tactical Decision Making for Trucks in Highway Traffic

Multi-Objective Reinforcement Learning for Efficient Tactical Decision Making for Trucks in Highway Traffic explores A reinforcement learning framework for optimizing multi-objective tactical decisions in autonomous trucking on highways.. Commercial viability score: 3/10 in Autonomous Vehicles.