44 citations · 59 across the 27 of their papers we have counts for
4 papers · 1 filter
Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning
Aaryan Singhal, Daniele Gammelli, Justin Luke +3
Operators of Electric Autonomous Mobility-on-Demand (E-AMoD) fleets need to make several real-time decisions such as matching available vehicles to ride requests, rebalancing idle…
Transformers for Trajectory Optimization with Application to Spacecraft Rendezvous
Tommaso Guffanti, Daniele Gammelli, Simone D'Amico +1
Reliable and efficient trajectory optimization methods are a fundamental need for autonomous dynamical systems, effectively enabling applications including rocket landing, hyperson…
Graph Reinforcement Learning for Network Control via Bi-Level Optimization
Daniele Gammelli, James Harrison, Kaidi Yang +3
Optimization problems over dynamic networks have been extensively studied and widely used in the past decades to formulate numerous real-world problems. However, (1) traditional op…
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning
Carolin Schmidt, Daniele Gammelli, Francisco Camara Pereira +1
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 reques…