Chenggang Liu

Blogs

Thoughts on optimal control, robotics, reinforcement learning, and engineering

2025
Inference Control, Inference and Statistical Physics

Unifying perspectives from control, inference, and physics

Inference Optimal Control as Probabilistic Inference Review

Bridging control theory and probabilistic reasoning

2020
Optimal Control 轨迹优化方法与实践

经验之谈

Simulation Numerical Integration

Numerical integration and quadrature methods

2019
Autonomous Vehicles Safe Driving Speed for Self-Driving Car

Determining safe operational speeds for autonomous vehicles

Reinforcement Learning IRL as Variational Inference

Inverse reinforcement learning through the lens of variational methods

2018
Autonomous Vehicles Self-driving Car From An Engineering Perspective

Engineering challenges in autonomous vehicle development

Machine Learning Natural Gradient

Natural gradient methods in optimization and learning

Reinforcement Learning Reinforcement Learning

Foundations and modern approaches to RL

2017
Optimal Control Cool Things in Optimal Control and Physics

Connections between optimal control and fundamental physics

Optimal Control Trajectory Optimization

Optimal control, DDP, and iLQR

2016
Tools Notes on Emacs

Notes and tips for Emacs usage