Christof Nitsche

Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks

Recent advances in Reinforcement Learning (RL) have made significant contributions in past years by offering intelligent solutions to solve robotic tasks. However, most RL algorithms, especially the model-free RL, are plagued by low learning efficiency and safety problems. In this paper, we propose…