The MPC-RL framework cuts collision rates by 21% and raises success rates by 6.5% over pure MPC in intersection scenarios, with superior zero-shot transfer to highway merging.
Assessing drivers’ trust of automated vehicle driving styles with a two-part mixed model of intervention tendency and magnitude,
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Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning
The MPC-RL framework cuts collision rates by 21% and raises success rates by 6.5% over pure MPC in intersection scenarios, with superior zero-shot transfer to highway merging.