Multiagent Reinforcement Learning for Autonomous Routing and Pickup Problem with Adaptation to Variable Demand. - Daniel Garces; Sushmita Bhattacharya; Stephanie Gil; Dimitri P. Bertsekas (ICRA, 2023)

Approximate Multiagent Reinforcement Learning for On-Demand Urban Mobility Problem on a Large Map (extended version). - Daniel Garces; Sushmita Bhattacharya; Dimitri P. Bertsekas; Stephanie Gil (CoRR, 2023)

Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare. - Daniel Garces; Stephanie Gil (AAMAS, 2024)

Approximate Multiagent Reinforcement Learning for On-Demand Urban Mobility Problem on a Large Map. - Daniel Garces; Sushmita Bhattacharya; Dimitri P. Bertsekas; Stephanie Gil (ICRA, 2024)

Tiny Reinforcement Learning for Quadruped Locomotion using Decision Transformers. - Orhan Eren Akgün; Néstor Cuevas; Matheus Farias; Daniel Garces (CoRR, 2024)

Pro-routing: Proactive routing of autonomous multi-capacity robots for pickup-and-delivery tasks. - Daniel Garces; Stephanie Gil (Robotics Auton. Syst., 2025)

Data-Efficient Multi-Agent Spatial Planning with LLMs. - Huangyuan Su; Aaron Walsman; Daniel Garces; Sham M. Kakade; Stephanie Gil (CoRR, 2025)

Provably Stable Multi-Agent Routing with Bounded-Delay Adversaries in the Decision Loop. - Roee M. Francos; Daniel Garces; Stephanie Gil (CoRR, 2025)