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Neural Networks : the Official Journal of the International Neural Network Society|February 4, 2018
Sigmoid-weighted linear units for neural network function approximation in reinforcement learningStefan Elfwing, Eiji Uchibe, Kenji DoyaFrontiers in Neurorobotics|March 2, 2013
Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spacesStefan Elfwing, Eiji Uchibe, Kenji DoyaNeural Networks : the Official Journal of the International Neural Network Society|September 19, 2016
From free energy to expected energy: Improving energy-based value function approximation in reinforcement learningStefan Elfwing, Eiji Uchibe, Kenji DoyaNeural Networks : the Official Journal of the International Neural Network Society|November 18, 2008
Finding intrinsic rewards by embodied evolution and constrained reinforcement learningEiji Uchibe, Kenji DoyaNeural Networks : the Official Journal of the International Neural Network Society|September 7, 2021
Forward and inverse reinforcement learning sharing network weights and hyperparametersEiji Uchibe, Kenji DoyaPlos One|April 11, 2014
Emergence of polymorphic mating strategies in robot coloniesStefan Elfwing, Kenji DoyaNeural Networks : the Official Journal of the International Neural Network Society|December 31, 2020
Modular deep reinforcement learning from reward and punishment for robot navigationJiexin Wang, Stefan Elfwing, Eiji UchibeFrontiers in Neurorobotics|April 12, 2013
Evaluation of linearly solvable Markov decision process with dynamic model learning in a mobile robot navigation taskKen Kinjo, Eiji Uchibe, Kenji DoyaFrontiers in Neurorobotics|February 8, 2017
Adaptive Baseline Enhances EM-Based Policy Search: Validation in a View-Based Positioning Task of a Smartphone BalancerJiexin Wang, Eiji Uchibe, Kenji DoyaNeural Computation|October 22, 2009
Derivatives of logarithmic stationary distributions for policy gradient reinforcement learningTetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, et al.Pageof 12