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20222026
most citedMultiagent Reinforcement Learning for Autonomous Routing and Pickup Problem with Adaptation to Variable Demand

10 citations · 12 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.MA2026

Trust-Aware Sequential Decision Making and Rollout Planning for Resilient Multi-Robot Systems

Roee M. Francos, Daniel Garces, Orhan Eren Akgün +2

Sequential decision-making in multi-robot systems typically assumes that planning information is reliable and that agents execute the actions anticipated by the planner. Compromise…

cs.MA2025

Operational Reliability of Deadline-Constrained Task Assignment: Stability Characterization and Adversarial Routing

Roee M. Francos, Daniel Garces, Orhan Eren Akgün +1

Automated task-assignment systems often serve stochastic tasks subject to finite deadlines. In these settings, conventional backlog-based stability can be misleading: finite task l…

cs.MA2025

Provably Stable Multi-Agent Routing with Bounded-Delay Adversaries in the Decision Loop

Roee M. Francos, Daniel Garces, Stephanie Gil

In this work, we are interested in studying multi-agent routing settings, where adversarial agents are part of the assignment and decision loop, degrading the performance of the fl…

cs.MA2023★ 1 cited

Approximate Multiagent Reinforcement Learning for On-Demand Urban Mobility Problem on a Large Map (extended version)

Daniel Garces, Sushmita Bhattacharya, Dimitri Bertsekas +1

In this paper, we focus on the autonomous multiagent taxi routing problem for a large urban environment where the location and number of future ride requests are unknown a-priori,…

cs.MA2022★ 10 cited

Multiagent Reinforcement Learning for Autonomous Routing and Pickup Problem with Adaptation to Variable Demand

Daniel Garces, Sushmita Bhattacharya, Stephanie Gil +1

We derive a learning framework to generate routing/pickup policies for a fleet of autonomous vehicles tasked with servicing stochastically appearing requests on a city map. We focu…