Wolfram Schiffmann

Continuous control with deep reinforcement learning

Neuroscience-Inspired Artificial Intelligence

Deep learning in neural networks: An overview

Structural Control: Past, Present, and Future

Simplifying Neural Networks by Soft Weight-Sharing

1D convolutional neural networks and applications: A survey

Evaluation of global and local training techniques over feed-forward neural network architecture spaces for computer-aided medical diagnosis

Reinforcement learning in feedback control

JETNET 3.0—A versatile artificial neural network package

Empirical evaluation of the improved Rprop learning algorithms

Counterfactual Multi-Agent Policy Gradients

A systematic classification of neural-network-based control

Comparison of optimized backpropagation algorithms.

Speeding Up Backpropagation Algorithms by Using Cross-Entropy Combined with Pattern Normalization

Adaptive control of dynamic systems by back propagation networks