2021
Structural Credit Assignment in Neural Networks using Reinforcement Learning
NeurIPS 2021poster
Structural credit assignment in neural networks is a long-standing problem, with a variety of alternatives to backpropagation proposed to allow for local training of nodes. One of the early strategies was to treat each node as an agent and use a reinforcement learning method called REINFORCE to upda…