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How well do reinforcement learning approaches cope with disruptions? the case of traffic signal control,

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

fields

cs.CE 1 cs.MA 1

years

2026 2

representative citing papers

GROSS: German Rail Open-Source SUMO Scenario

cs.CE · 2026-06-02 · conditional · novelty 6.0

GROSS is an open pipeline generating nation-scale German rail scenarios for SUMO via topology-aware stop mapping from OSM and GTFS, reducing teleportations 1.7-76.8x versus prior methods.

citing papers explorer

Showing 2 of 2 citing papers.

  • GROSS: German Rail Open-Source SUMO Scenario cs.CE · 2026-06-02 · conditional · none · ref 10

    GROSS is an open pipeline generating nation-scale German rail scenarios for SUMO via topology-aware stop mapping from OSM and GTFS, reducing teleportations 1.7-76.8x versus prior methods.

  • ACCoRD: Actor-Critic Conflict Resolution with Deep learning for O-RAN xApps cs.MA · 2026-05-21 · unverdicted · none · ref 154

    ACCoRD trains an ANN with PPO-Clip reinforcement learning to select conflict resolution actions in O-RAN, reducing negative network events versus rule-based methods in medium and high traffic simulations.