An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (GECCO, 2003)

Multi-agent reinforcement learning: using macro actions to learn a mating task. - Stefan Elfwing; Eiji Uchibe; Kenji Doya; Henrik I. Christensen (IROS, 2004)

Biologically inspired embodied evolution of survival. - Stefan Elfwing; Eiji Uchibe; Kenji Doya; Henrik I. Christensen (Congress on Evolutionary Computation, 2005)

Evolutionary Development of Hierarchical Learning Structures. - Stefan Elfwing; Eiji Uchibe; Kenji Doya; Henrik I. Christensen (IEEE Trans. Evol. Comput., 2007)

Embodied Evolution of Learning Ability. - Stefan Elfwing (2007)

Co-evolution of Shaping Rewards and Meta-Parameters in Reinforcement Learning. - Stefan Elfwing; Eiji Uchibe; Kenji Doya; Henrik I. Christensen (Adapt. Behav., 2008)

Emergence of Different Mating Strategies in Artificial Embodied Evolution. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (ICONIP (2), 2009)

Co-evolution of Rewards and Meta-parameters in Embodied Evolution. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (Creating Brain-Like Intelligence, 2009)

Free-Energy Based Reinforcement Learning for Vision-Based Navigation with High-Dimensional Sensory Inputs. - Stefan Elfwing; Makoto Otsuka; Eiji Uchibe; Kenji Doya (ICONIP (1), 2010)

Darwinian embodied evolution of the learning ability for survival. - Stefan Elfwing; Eiji Uchibe; Kenji Doya; Henrik I. Christensen (Adapt. Behav., 2011)

Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (Frontiers Neurorobotics, 2013)

Expected energy-based restricted Boltzmann machine for classification. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (Neural Networks, 2015)

From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (Neural Networks, 2016)

Parallel reward and punishment control in humans and robots: Safe reinforcement learning using the MaxPain algorithm. - Stefan Elfwing; Ben Seymour (ICDL-EPIROB, 2017)

Online meta-learning by parallel algorithm competition. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (GECCO, 2018)

Deep Reinforcement Learning by Parallelizing Reward and Punishment using the MaxPain Architecture. - Jiexin Wang; Stefan Elfwing; Eiji Uchibe (ICDL-EPIROB, 2018)

Unbounded Output Networks for Classification. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (CoRR, 2018)

Sigmoid-weighted linear units for neural network function approximation in reinforcement learning. - Stefan Elfwing; Eiji Uchibe; Kenji Doya (Neural Networks, 2018)

Modular deep reinforcement learning from reward and punishment for robot navigation. - Jiexin Wang; Stefan Elfwing; Eiji Uchibe (Neural Networks, 2021)

Predictive uncertainty estimation for out-of-distribution detection in digital pathology. - Jasper Linmans; Stefan Elfwing; Jeroen van der Laak; Geert Litjens 001 (Medical Image Anal., 2023)