Reinforcement learning-based multi-agent system for network traffic signal control

IET Intelligent Transport Systems, 2010 - IET
A challenging application of artificial intelligence systems involves the scheduling of traffic
signals in multi-intersection vehicular networks. This paper introduces a novel use of a multi …
被引用次数：743 相关文章

[引用][C] Reinforcement learning-based multi-multi-agent system for network traffic signal control

I AREL - Intelligent Transport Systems, IET, 2010 - cir.nii.ac.jp
Reinforcement learning-based multi-multi-agent system for network traffic signal control |
CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォーム …

Reinforcement learning-based multi-agent system for network traffic signal control

I AREL, C LIU, T Urbanik, AG KOHLS - IET Intelligent Transport Systems, 2010 - trid.trb.org
A challenging application of artificial intelligence systems involves the scheduling of traffic
signals in multi-intersection vehicular networks. This paper introduces a novel use of a multi …
[PDF] psu.edu

[PDF][PDF] Reinforcement learning-based multi-agent system for network traffic signal control

I Arel, C Liu, T Urbanik, AG Kohls - 2010 - Citeseer
A challenging application of artificial intelligence systems involves the scheduling of traffic
signals in multi-intersection vehicular networks. This paper introduces a novel use of a multi …

Reinforcement learning-based multi-agent system for network traffic signal control

I Arel, C Liu, T Urbanik… - IET Intelligent Transport …, 2010 - search.proquest.com
A challenging application of artificial intelligence systems, involves the scheduling of traffic
signals in multi-intersection vehicular networks. This paper introduces, a novel use of a multi …
[PDF] theiet.org

[PDF][PDF] Reinforcement learning-based multi-agent system for network traffic signal control

I Arel, C Liu, T Urbanik, AG Kohls - 2010 - theiet.org
A challenging application of artificial intelligence systems involves the scheduling of traffic
signals in multi-intersection vehicular networks. This paper introduces a novel use of a multi …

Reinforcement learning-based multi-agent system for network traffic signal control

I Arel, C Liu, T Urbanik, AG Kohls - IET Intelligent Transport Systems, 2010 - infona.pl
A challenging application of artificial intelligence systems involves the scheduling of traffic
signals in multi-intersection vehicular networks. This paper introduces a novel use of a multi …
[PDF] archive.org

[PDF][PDF] Reinforcement learning-based multi-agent system for network traffic signal control

I Arel, C Liu, T Urbanik, AG Kohls - 2010 - scholar.archive.org
A challenging application of artificial intelligence systems involves the scheduling of traffic
signals in multi-intersection vehicular networks. This paper introduces a novel use of a multi …

[引用][C] Reinforcement learning-based multi-agent system for network traffic signal control

I Arel, C Liu, T Urbanik, AG Kohls - IET Intelligent Transport Systems, 2010 - cir.nii.ac.jp
Reinforcement learning-based multi-agent system for network traffic signal control | CiNii
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …

[引用][C] Reinforcement learning-based multi-agent system for network traffic signal control

I AREL, C LIU, T URBANIK, AG KOHLS - IET intelligent transport systems, 2010 - IET