Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers

Philipp Geiger, Christoph-Nikolas Straehle

For prediction of interacting agents' trajectories, we propose an end-to-end trainable architecture that hybridizes neural nets with game-theoretic reasoning, has interpretable int…