Dendritic solutions to the credit assignment problem
Optimizing Agent Behavior over Long Time Scales by Transporting Value.
Optimizing Agent Behavior over Long Time Scales by Transporting Value.
Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights.
Learning to Learn without Gradient Descent by Gradient Descent.
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates.
Mastering the game of Go with deep neural networks and tree search.
Random synaptic feedback weights support error backpropagation for deep learning
Learning Continuous Control Policies by Stochastic Value Gradients
Complex Spatiotemporal Tuning in Human Upper-Limb Muscles
Relevance Realization and the Emerging Framework in Cognitive Science
Temporal Evolution of "Automatic Gain-Scaling"
Learning sensitivity derivative by implicit supervision
Unsupervised learning is crucial to learning the names of objects