IG-RL: Inductive graph reinforcement learning for massive-scale traffic signal control

FX Devailly, D Larocque… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Scaling adaptive traffic signal control involves dealing with combinatorial state and action
spaces. Multi-agent reinforcement learning attempts to address this challenge by distributing …
被引用次数：73 相关文章

IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control

FX Devailly, D Larocque, L Charlin - IEEE Transactions on Intelligent …, 2022 - trid.trb.org
Scaling adaptive traffic signal control involves dealing with combinatorial state and action
spaces. Multi-agent reinforcement learning attempts to address this challenge by distributing …

IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control

FX Devailly, D Larocque, L Charlin - IEEE Transactions on Intelligent …, 2022 - dl.acm.org
Scaling adaptive traffic signal control involves dealing with combinatorial state and action
spaces. Multi-agent reinforcement learning attempts to address this challenge by distributing …

IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control

FX Devailly, D Larocque, L Charlin - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Scaling adaptive traffic-signal control involves dealing with combinatorial state and action
spaces. Multi-agent reinforcement learning attempts to address this challenge by distributing …

IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control

FX Devailly, D Larocque, L Charlin - arXiv preprint arXiv:2003.05738, 2020 - arxiv.org
Scaling adaptive traffic-signal control involves dealing with combinatorial state and action
spaces. Multi-agent reinforcement learning attempts to address this challenge by distributing …
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[PDF][PDF] IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control

FX Devailly, D Larocque, L Charlin - Three Essays on Inductive Graph …, 2022 - biblos.hec.ca
Scaling adaptive traffic signal control involves dealing with combinatorial state and action
spaces. Multiagent reinforcement learning attempts to address this challenge by distributing …