Emergent sparsity in frozen random CNN feature extractors for deep reinforcement learning.
Read the original at arxiv.org→arXiv:2607.26059v1 Announce Type: new Abstract: We report a striking phenomenon: deep reinforcement learning agents trained with frozen, randomly initialized CNN feature extractors spontaneously develop extremely...
Original headline: "Emergent Sparsity in Frozen Random CNN Feature Extractors for Deep Reinforcement Learning"
Coverage timeline
- Jul 30, 04:00 UTC arXiv cs.LG lead source Emergent Sparsity in Frozen Random CNN Feature Extractors for Deep Reinforcement Learning