Recent advances in reinforcement learning-based autonomous driving behavior planning: A survey
Autonomous driving (AD) holds the potential to revolutionize transportation efficiency, but its
success hinges on robust behavior planning (BP) mechanisms. Reinforcement learning (RL) …
success hinges on robust behavior planning (BP) mechanisms. Reinforcement learning (RL) …
Stochastic time-optimal trajectory planning for connected and automated vehicles in mixed-traffic merging scenarios
Addressing safe and efficient interaction between connected and automated vehicles
(CAVs) and human-driven vehicles in a mixed-traffic environment has attracted considerable …
(CAVs) and human-driven vehicles in a mixed-traffic environment has attracted considerable …
Reinforcement Learning with Latent State Inference for Autonomous On-ramp Merging under Observation Delay
This paper presents a novel approach to address the challenging problem of autonomous
on-ramp merging, where a self-driving vehicle needs to seamlessly integrate into a flow of …
on-ramp merging, where a self-driving vehicle needs to seamlessly integrate into a flow of …