Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning
Sascha Rosbach,Xing Li,Simon Großjohann,Silviu Homoceanu,Stefan Roth,Sascha Rosbach,Xing Li,Simon Großjohann,Silviu Homoceanu,Stefan Roth
General-purpose trajectory planning algorithms for automated driving utilize complex reward functions to perform a combined optimization of strategic, behavioral, and kinematic features. The specification and tuning of a single reward function is a tedious task and does not generalize over a large set of traffic situations. Deep learning approaches based on path integral inverse reinforcement lear...
