Robust Forecasting for Robotic Control: A Game-Theoretic Approach
Shubhankar Agarwal,David Fridovich-Keil,Sandeep P. Chinchali,Shubhankar Agarwal,David Fridovich-Keil,Sandeep P. Chinchali
Modern robots require accurate forecasts to make optimal decisions in the real world. For example, self-driving cars need an accurate forecast of other agents' future actions to plan safe trajectories. Current methods rely heavily on historical time series to accurately predict the future. However, relying entirely on the observed history is problematic since it could be corrupted by noise, have o...
