Investigating Compounding Prediction Errors in Learned Dynamics Models

Nathan Lambert, Kristofer Pister, Roberto Calandra

Accurately predicting the consequences of agents' actions is a key prerequisite for planning in robotic control. Model-based reinforcement learning (MBRL) is one paradigm which rel…