2 papers
cs.LG2025
URB -- Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles
Ahmet Onur Akman, Anastasia Psarou, MichaÅ Hoffmann +5
Connected Autonomous Vehicles (CAVs) promise to reduce congestion in future urban networks, potentially by optimizing their routing decisions. Unlike for human drivers, these decis…
cs.AI2025
POMO+: Leveraging starting nodes in POMO for solving Capacitated Vehicle Routing Problem
Szymon Jakubicz, Karol Kuźniak, Jan Wawszczak +1
In recent years, reinforcement learning (RL) methods have emerged as a promising approach for solving combinatorial problems. Among RL-based models, POMO has demonstrated strong pe…