Outperforming 1000 Euclidean Layers With Hyperbolic Goal-Conditioned RL

Timo Klein, Thomas Lang, Andrii Shkabrii +3

Scaling self-supervised contrastive reinforcement learning (CRL) to 1000-layer Euclidean neural networks has enabled state-of-the-art goal-reaching performance, yet wall-clock time…