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Stephanie Gil

7 papers hereh-index 219 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.MA4
  • cs.RO2
  • cs.AI1
same name
  • Stephanie Gil — 8 papers, h 17
  • Stephanie Gil — 7 papers, h 4
  • Stephanie Gil — 4 papers, h 1
  • Stephanie Gil — 3 papers, h 3
  • Stephanie Gil — 2 papers, h 3
  • Stephanie Gil — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
collaborators
Showing cs.MAShow all

4 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

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,…

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