Stefan Elfwing

According to our database1, Stefan Elfwing authored at least 17 papers between 2003 and 2018.

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Bibliography

2018
Sigmoid-weighted linear units for neural network function approximation in reinforcement learning.
Neural Networks, 2018

Unbounded Output Networks for Classification.
CoRR, 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

Online meta-learning by parallel algorithm competition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
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

2016
From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning.
Neural Networks, 2016

2015
Expected energy-based restricted Boltzmann machine for classification.
Neural Networks, 2015

2013
Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces.
Frontiers Neurorobotics, 2013

2011
Darwinian embodied evolution of the learning ability for survival.
Adapt. Behav., 2011

2010
Free-Energy Based Reinforcement Learning for Vision-Based Navigation with High-Dimensional Sensory Inputs.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

2009
Co-evolution of Rewards and Meta-parameters in Embodied Evolution.
Proceedings of the Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems, 2009

Emergence of Different Mating Strategies in Artificial Embodied Evolution.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
Co-evolution of Shaping Rewards and Meta-Parameters in Reinforcement Learning.
Adapt. Behav., 2008

2007
Evolutionary Development of Hierarchical Learning Structures.
IEEE Trans. Evol. Comput., 2007

2005
Biologically inspired embodied evolution of survival.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Multi-agent reinforcement learning: using macro actions to learn a mating task.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

2003
An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning.
Proceedings of the Genetic and Evolutionary Computation, 2003


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