[Papers] IFAC World Congress 2023

1. Reinforcement Learning from Simulation to Real World; 2. MPC-Based Imitation Learning for Human-Like Autonomous Driving; 3. Critical Driving Behaviours Using Driver's Risk Field

Hi all, if you are participating the IFAC World Congress next week in Yokohama, and having interests in state-of-art autonomous vehicle control technologies, please visit our talks. We have several interesting papers and demonstrations being presented there.

  • Reinforcement Learning from Simulation to Real World Autonomous Driving Using Digital Twin (13:30-15:30 on Monday), Kevin Voogd, Jean Pierre Allamaa, Javier Alonso-Mora, Son Tong

  • Evaluation of MPC-Based Imitation Learning for Human-Like Autonomous Driving (16:00-18:00 Tuesday), Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars, Son Tong

  • Learning from Demonstrations of Critical Driving Behaviours Using Driver’s Risk Field (10:20-10:40 on Tuesday), Yurui Du, Flavia Sofia Acerbo, Jens Kober, Son Tong. I am also co-chair of this interesting session “Learning and Adaptation in Autonomous Vehicles”.

And check the following video for some summaries and demos.