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Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance

https://doi.org/10.1109/iv51971.2022.9827451
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11/11 checkable references clean · checked 2026-07-26

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

6 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 11 checked references that resolve
resolves10.1016/j.trf.2009.02.003
Pedestrians at the kerb – Recognising the action intentions of humans
resolves10.1177/0739456X16675674
Pedestrians, Autonomous Vehicles, and Cities
resolves10.1609/aaai.v30i1.10295
Deep Reinforcement Learning with Double Q-Learning
resolves10.1007/BF00115009
Learning to predict by the methods of temporal differences
resolves10.1068/b3060
Human Movement Behaviour in Urban Spaces: Implications for the Design and Modelling of Effective Pedestrian Environments
resolves10.1109/ITSC.2017.8317839
Autonomous braking system via deep reinforcement learning
resolves10.1038/nature14236
Human-level control through deep reinforcement learning
resolves10.1109/ICARCV50220.2020.9305435
Behavioral decision-making for urban autonomous driving in the presence of pedestrians using Deep Recurrent Q-Network
resolves10.1109/ITSC48978.2021.9564601
Navigation in Urban Environments amongst pedestrians using Multi-Objective Deep Reinforcement Learning
resolves10.4271/12-02-04-0021
Pedestrian Collision Avoidance System for Autonomous Vehicles
resolves10.1109/TITS.2019.2901817
Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice
The 6 references without a DOI — listed, not checked
no DOI — not checkedref12
no DOI — not checkedA deeper look at experience replay
no DOI — not checkedDueling network architectures for deep reinforcement learning
no DOI — not checkedA reinforcement learning approach for enacting cautious behaviours in autonomous driving system: Safe speed choice in the interaction with distracted pedestrians
no DOI — not checkedDeep reinforcement learning for autonomous driving: A survey
no DOI — not checkedref1
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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