TY - GEN
T1 - Multi-agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control
AU - Woywood, Zeno
AU - Wiltfang, Jasper I.
AU - Luy, Julius
AU - Enders, Tobias
AU - Schiffer, Maximilian
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - We study a sequential decision-making problem for a profit-maximizing operator of an autonomous mobility-on-demand system. Optimizing a central operator’s vehicle-to-request dispatching policy requires efficient and effective fleet control strategies. To this end, we employ a multi-agent Soft Actor-Critic algorithm combined with weighted bipartite matching. We propose a novel vehicle-based algorithm architecture and adapt the critic’s loss function to appropriately consider coordinated actions. Furthermore, we extend our algorithm to incorporate rebalancing capabilities. Through numerical experiments, we show that our approach outperforms state-of-the-art benchmarks by up to 12.9% for dispatching and up to 38.9% with integrated rebalancing.
AB - We study a sequential decision-making problem for a profit-maximizing operator of an autonomous mobility-on-demand system. Optimizing a central operator’s vehicle-to-request dispatching policy requires efficient and effective fleet control strategies. To this end, we employ a multi-agent Soft Actor-Critic algorithm combined with weighted bipartite matching. We propose a novel vehicle-based algorithm architecture and adapt the critic’s loss function to appropriately consider coordinated actions. Furthermore, we extend our algorithm to incorporate rebalancing capabilities. Through numerical experiments, we show that our approach outperforms state-of-the-art benchmarks by up to 12.9% for dispatching and up to 38.9% with integrated rebalancing.
KW - autonomous mobility on demand
KW - coordinated loss
KW - deep reinforcement learning
KW - hybrid learning and optimization
KW - multi-agent learning
UR - https://www.scopus.com/pages/publications/105027527445
U2 - 10.1007/978-3-032-09156-7_1
DO - 10.1007/978-3-032-09156-7_1
M3 - Conference contribution
AN - SCOPUS:105027527445
SN - 9783032091550
T3 - Lecture Notes in Computer Science
SP - 1
EP - 15
BT - Learning and Intelligent Optimization - 19th International Conference, LION 19 2025, Proceedings
A2 - Zhang, Yingqian
A2 - Hladik, Milan
A2 - Moosaei, Hossein
PB - Springer Science and Business Media Deutschland GmbH
T2 - 19th International Conference on Learning and Intelligent Optimization, LION 2025
Y2 - 15 June 2025 through 19 June 2025
ER -