Abstract: Inverse reinforcement learning optimal control is under the framework of learner–expert, the learner system can learn expert system's trajectory and optimal control policy via a ...

This project is aimed at understanding and implementing various RL algorithms from scratch, including: This project implements an algorithm that is a combination of a Fixed-point iteration method and ...

Abstract: Inverse reinforcement learning optimal control is under the framework of learner-expert. The learner system can imitate the expert system's demonstrated behaviors and does not require the ...

Hand-written lecture notes and corresponding Jupyter notebooks from the course Optimal Control and Reinforcement Learning as taught in the Robotics Institute at Carnegie Mellon University in spring ...