Hein, Daniel

1. Quantum Policy Iteration via Amplitude Estimation and Grover Search -- Towards Quantum Advantage for Reinforcement Learning
   2022/06/09 by Simon Wiedemann, Wiedemann, Simon, Daniel Hein +5 · 9 citations
   Computer Science · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)
2. Interpretable Policies for Reinforcement Learning by Genetic Programming
   2017/12/12 by Hein, Daniel, Udluft, Steffen, Runkler, Thomas A. · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Neural and Evolutionary Computing (cs.NE) #Systems and Control (eess.SY) #electronic engineering #information engineering
3. Introduction to the "Industrial Benchmark"
   2016/10/12 by Daniel Hein, Alexander Hentschel, Hein, Daniel +7 · 1 citation
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Reinforcement Learning in Robotics
4. Interpretable Control by Reinforcement Learning
   2020/07/20 by Hein, Daniel, Limmer, Steffen, Runkler, Thomas A. · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Robotics (cs.RO) #Symbolic Computation (cs.SC) #Systems and Control (eess.SY) #electronic engineering #information engineering