Zhi-Hao Cui

Highway Ramp Merging Behavior of Autonomous Vehicles Using Human-Inspired Structured LSTM with Reward Machine Reinforcement Learning

For autonomous vehicles (AVs), safe and efficient highway on-ramp merging remains a challenging decision-making problem. To jointly improve safety, merging success, and driving efficiency, this paper proposes a novel human-inspired structured Long Short-Term Memory (HIS-LSTM) with reward machine reinforcement learning...