According to our database1, Stefan Elfwing authored at least 17 papers between 2003 and 2018.
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Sigmoid-weighted linear units for neural network function approximation in reinforcement learning.
Neural Networks, 2018
Deep Reinforcement Learning by Parallelizing Reward and Punishment using the MaxPain Architecture.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Parallel reward and punishment control in humans and robots: Safe reinforcement learning using the MaxPain algorithm.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017
From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning.
Neural Networks, 2016
Neural Networks, 2015
Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces.
Frontiers Neurorobotics, 2013
Adapt. Behav., 2011
Free-Energy Based Reinforcement Learning for Vision-Based Navigation with High-Dimensional Sensory Inputs.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010
Proceedings of the Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems, 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Adapt. Behav., 2008
IEEE Trans. Evol. Comput., 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004
An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning.
Proceedings of the Genetic and Evolutionary Computation, 2003