Learning to Combat Compounding-Error in Model-Based Reinforcement Learning

Chenjun Xiao, Yifan Wu, Chen Ma +2

Despite its potential to improve sample complexity versus model-free approaches, model-based reinforcement learning can fail catastrophically if the model is inaccurate. An algorit…