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cs.RO2024
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
Liu Weiwei, Hu Wenxuan, Jing Wei +3
Autonomous vehicles trained through Multi-Agent Reinforcement Learning (MARL) have shown impressive results in many driving scenarios. However, the performance of these trained pol…
cs.RO2023
Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning
Ke Guo, Wei Jing, Lingping Gao +3
A realistic long-term microscopic traffic simulator is necessary for understanding how microscopic changes affect traffic patterns at a larger scale. Traditional simulators that mo…