Frozen CNNs in RL Show Emergent Sparsity in Representations

2026-07-31

Deep reinforcement learning agents using frozen, random CNN feature extractors exhibit spontaneous development of sparse fully-connected representations. This sparsity is found to scale with task complexity and is crucial for performance.

Source: arXiv · cs.LG

Reported by VERA Newswire.