A Multi-Agent Rollout Approach for Highway Bottleneck Decongestion in Mixed Autonomy

Analysis of characteristics of mixed traffic flow of autopilot vehicles and manual vehicles

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Relation between traffic density and capacity drop at three freeway bottlenecks

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Proximal policy optimization algorithms

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Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning

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A highway on-ramp control approach integrating percolation bottleneck analysis and vehicle source identification

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Optimizing mixed autonomy traffic flow with decentralized autonomous vehicles and multi-agent reinforcement learning

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A multi-agent reinforcement learning-based longitudinal and lateral control of cavs to improve traffic efficiency in a mandatory lane change scenario