Understanding the Evolution of Linear Regions in Deep Reinforcement Learning

1 code implementation • 24 Oct 2022 • Setareh Cohan, Nam Hee Kim, David Rolnick, Michiel Van de Panne

Empirically, we find that the region density increases only moderately throughout training, as measured along fixed trajectories coming from the final policy.

Continuous Control reinforcement-learning +1