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Stefan Elfwing
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2020 – today
- 2023
- [j9]Jasper Linmans, Stefan Elfwing, Jeroen van der Laak, Geert Litjens:
Predictive uncertainty estimation for out-of-distribution detection in digital pathology. Medical Image Anal. 83: 102655 (2023) - 2021
- [j8]Jiexin Wang, Stefan Elfwing, Eiji Uchibe:
Modular deep reinforcement learning from reward and punishment for robot navigation. Neural Networks 135: 115-126 (2021)
2010 – 2019
- 2018
- [j7]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Sigmoid-weighted linear units for neural network function approximation in reinforcement learning. Neural Networks 107: 3-11 (2018) - [c8]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Online meta-learning by parallel algorithm competition. GECCO 2018: 426-433 - [c7]Jiexin Wang, Stefan Elfwing, Eiji Uchibe:
Deep Reinforcement Learning by Parallelizing Reward and Punishment using the MaxPain Architecture. ICDL-EPIROB 2018: 175-180 - [i3]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Unbounded Output Networks for Classification. CoRR abs/1807.09443 (2018) - 2017
- [c6]Stefan Elfwing, Ben Seymour:
Parallel reward and punishment control in humans and robots: Safe reinforcement learning using the MaxPain algorithm. ICDL-EPIROB 2017: 140-147 - [i2]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning. CoRR abs/1702.03118 (2017) - [i1]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Online Meta-learning by Parallel Algorithm Competition. CoRR abs/1702.07490 (2017) - 2016
- [j6]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning. Neural Networks 84: 17-27 (2016) - 2015
- [j5]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Expected energy-based restricted Boltzmann machine for classification. Neural Networks 64: 29-38 (2015) - 2013
- [j4]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces. Frontiers Neurorobotics 7: 3 (2013) - 2011
- [j3]Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen:
Darwinian embodied evolution of the learning ability for survival. Adapt. Behav. 19(2): 101-120 (2011) - 2010
- [c5]Stefan Elfwing, Makoto Otsuka, Eiji Uchibe, Kenji Doya:
Free-Energy Based Reinforcement Learning for Vision-Based Navigation with High-Dimensional Sensory Inputs. ICONIP (1) 2010: 215-222
2000 – 2009
- 2009
- [c4]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Emergence of Different Mating Strategies in Artificial Embodied Evolution. ICONIP (2) 2009: 638-647 - [p1]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Co-evolution of Rewards and Meta-parameters in Embodied Evolution. Creating Brain-Like Intelligence 2009: 278-302 - 2008
- [j2]Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen:
Co-evolution of Shaping Rewards and Meta-Parameters in Reinforcement Learning. Adapt. Behav. 16(6): 400-412 (2008) - 2007
- [b1]Stefan Elfwing:
Embodied Evolution of Learning Ability. KTH Royal Institute of Technology, Sweden, 2007 - [j1]Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen:
Evolutionary Development of Hierarchical Learning Structures. IEEE Trans. Evol. Comput. 11(2): 249-264 (2007) - 2005
- [c3]Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen:
Biologically inspired embodied evolution of survival. Congress on Evolutionary Computation 2005: 2210-2216 - 2004
- [c2]Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen:
Multi-agent reinforcement learning: using macro actions to learn a mating task. IROS 2004: 3164-3169 - 2003
- [c1]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning. GECCO 2003: 507-509
Coauthor Index
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