Learning to control autonomous fleets from observation via offline reinforcement learning
C Schmidt, D Gammelli, FC Pereira… - 2024 European …, 2024 - ieeexplore.ieee.org
Autonomous Mobility-on-Demand (AMoD) systems are an evolving mode of transportation in
which a centrally coordinated fleet of self-driving vehicles dynamically serves travel …
which a centrally coordinated fleet of self-driving vehicles dynamically serves travel …
Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning
A Singhal, D Gammelli, J Luke… - 2024 European …, 2024 - ieeexplore.ieee.org
Operators of Electric Autonomous Mobility-on-Demand (E-AMoD) fleets need to make
several realtime decisions such as matching available cars to ride requests, rebalancing idle …
several realtime decisions such as matching available cars to ride requests, rebalancing idle …
[PDF][PDF] Benchmarking Reinforcement Learning for Network-level Coordination of Autonomous Mobility-on-Demand Systems Across Scales
L Tresca, D Gammelli, J Harrison, G Zardini, M Pavone - vindulamj.github.io
As urbanization intensifies, relying on private cars for private mobility becomes increasingly
unsustainable, prompting the exploration of alternative transit solutions. This paper focuses …
unsustainable, prompting the exploration of alternative transit solutions. This paper focuses …