"There are many challenges in applying reinforcement learning to autonomous driving, but all these problems will be solved one day. Reinforcement learning has the potential to surpass humans," said LI Shengbo.
Overview
On October 27, the 11th AIR Academic Salon was held as scheduled at the Turing Lecture Hall of the Institute for AI Industry Research, Tsinghua University (AIR). We were honored to invite Prof. LI Shengbo from School of Vehicles, Tsinghua University to give a presentation entitled "Applying Reinforcement Learning to Autonomous Driving: Technical Challenges and Development Trends". The lecture was hosted by Ya-Qin Zhang, Chair Professor of Institute for AI Industry Research, Tsinghua University (AIR). A total of nearly 4,300 views have accumulated as of now.
Read More: AIR Academic Salon Series 11 ｜LI Shengbo: Applying Reinforcement Learning to Autonomous Driving: Technical Challenges and Development Trends
