On the Interplay Between Sparsity and Training in Deep Reinforcement Learning

Fatima Davelouis, John D. Martin, Michael Bowling

We study the benefits of different sparse architectures for deep reinforcement learning. In particular, we focus on image-based domains where spatially-biased and fully-connected a…