Reinforcement Learning-Based Traffic Control: Mitigating the Adverse Impacts of Control Transitions-Reference-Cited by-同舟云学术

Reinforcement Learning-Based Traffic Control: Mitigating the Adverse Impacts of Control Transitions

Author:

Alms Robert¹^ORCID,Noulis Aristeidis²^ORCID,Mintsis Evangelos³^ORCID,Lucken Leonhard⁴,Wagner Peter¹^ORCID

Affiliation:

1. Institute of Transportation Systems, German Aerospace Center (DLR), Berlin, Germany

2. ARRC, Technology Innovation Institute (TII), Abu Dhabi, UAE

3. Hellenic Institute of Transport, Centre for Research and Technology Hellas, Thessaloniki, Greece

4. ICBM, University of Oldenburg, Oldenburg, Germany

Funder

EC Project TransAID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference50 articles.

1. Benchmarks for reinforcement learning in mixed-autonomy traffic;vinitsky;Proc 2nd Conf Robot Learn,2018

3. Playing atari with deep reinforcement learning;mnih;arXiv 1312 5602,2013

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