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A Cooperative Ensemble Co-Evolutionary Algorithm for Multiagent Reinforcement Learning Adaptive Traffic Signal Control with Mixed Traffic Flow

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Three stage based reinforcement learning for combining multiple metaheuristic algorithms
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A survey on urban traffic control under mixed traffic environment with connected automated vehicles
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Heterogeneous perimeter flow distributions and MFD-based traffic simulation
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Asymptotic controllability implies feedback stabilization
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FairSignal: A Multiagent Reinforcement Learning Approach Considering Fairness for Multi-Intersection Traffic Signal Control
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A Surrogate Assisted Approach for Single-Objective Bilevel Optimization
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A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications
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Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms
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Multiagent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC): Methodology and Large-Scale Application on Downtown Toronto
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Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control
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Development of an Efficient Driving Strategy for Connected and Automated Vehicles at Signalized Intersections: A Reinforcement Learning Approach
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A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem
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Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization
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Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search
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Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning
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Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning
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Sharing Control Knowledge Among Heterogeneous Intersections: A Distributed Arterial Traffic Signal Coordination Method Using Multi-Agent Reinforcement Learning
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CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control
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Enriched Sioux Falls scenario with dynamic and disaggregate demand
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