Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective

1 code implementation • 11 May 2021 • Florin Gogianu, Tudor Berariu, Mihaela Rosca, Claudia Clopath, Lucian Busoniu, Razvan Pascanu

We conduct ablation studies to disentangle the various effects normalisation has on the learning dynamics and show that is sufficient to modulate the parameter updates to recover most of the performance of spectral normalisation.

reinforcement-learning Reinforcement Learning (RL)