Hybrid Reinforcement Learning for Efficient Training of a Mobile Robot
Sample effective and stable training remains a key challenge in reinforcement learning (RL), especially for real-world applications such as mobile robot control where data collection is time-consuming and failures may be hazardous.Building on the residual reinforcement learning paradigm, this work presents, to the best...