About ADC Lab

ADC Lab (Autonomous Decision Control Laboratory), founded by Prof. Jingliang Duan, is housed in the School of Mechanical Engineering at the University of Science and Technology Beijing. Our primary focus lies in the fields of reinforcement learning, optimal control, and adaptive dynamic programming. Our research extends to exploring the practical applications of these techniques in industrial systems, with a special emphasis on vehicles, mining equipment, and robotics. We strive to integrate a diverse array of mathematical, computational, and engineering tools, with an aim to create innovative methods and frameworks for decision-making and optimal control in complex industrial environments.

News

  • 12/2023: Our paper "Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios" was accepted for publication in the IEEE Computational Intelligence Magazine.
  • 12/2023: Our paper "RL-driven MPPI: Accelerating Online Control Laws Calculation with Offline Policy" was accepted for publication in the IEEE Transactions on Intelligent Vehicles.
  • 10/2023: Our paper "Optimization Landscape of Policy Gradient Methods for Discrete-time Static Output Feedback" was accepted for publication in the IEEE Transactions on Cybernetics.
  • 10/2023: Our paper "High real-time predictive control for active collision avoidance of intelligent vehicles" was accepted for publication in the Journal of Automotive Safety and Energy (汽车安全与节能学报). Congratulations to Liangfa Chen.
  • 10/2023: Congratulations to our lab members Haoqi Yan and Haoyuan Xu who won the Best Paper Award of IEEE ICUS 2023.
  • 05/2023: Our paper "On the Optimization Landscape of Dynamic Output Feedback Linear Quadratic Control" was accepted for publication in the IEEE Transactions on Automatic Control.
  • 03/2023: Congratulations to our lab member Fawang Zhang who won the Best Presentation Reward of IEEE ICCCR 2023.
  • 03/2023: Our paper "Relaxed Actor-Critic with Convergence Guarantees for Continuous-Time Optimal Control of Nonlinear Systems" was accepted for publication in the IEEE Transactions on Intelligent Vehicles.