Rethinking the Role of Dynamic Sparse Training for Scalable Deep Reinforcement Learning

Guozheng Ma, Lu Li, Zilin Wang +4

Scaling neural networks has driven breakthrough advances in machine learning, yet this paradigm fails in deep reinforcement learning (DRL), where larger models often degrade perfor…