C Hirayama

Learning Stabilization Control from Observations by Learning Lyapunov-like Proxy Models

2023

The deployment of Reinforcement Learning to robotics applications faces the difficulty of reward engineering. Therefore, approaches have focused on creating reward functions by Learning from Observations (LfO) which is the task of learning policies from …