Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Eiji Uchibe

Showing results (1-10 of 15) with videos related to

Pageof 2
Sort By:
Frontiers in Neurorobotics|October 16, 2018
Cooperative and Competitive Reinforcement and Imitation Learning for a Mixture of Heterogeneous Learning ModulesEiji Uchibe
Neural 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 Doya
Neural 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 Doya
Neural Networks : the Official Journal of the International Neural Network Society|January 19, 2024
Online estimation of objective function for continuous-time deterministic systemsHamed Jabbari Asl, Eiji Uchibe
Frontiers 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 Doya
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 Doya
Frontiers 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 Doya
Neural 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 Doya
Frontiers 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 Doya
Neural 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 Uchibe
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Frontiers in Neurorobotics|October 16, 2018
Cooperative and Competitive Reinforcement and Imitation Learning for a Mixture of Heterogeneous Learning ModulesEiji Uchibe
Neural 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 Doya
Neural 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 Doya
Neural Networks : the Official Journal of the International Neural Network Society|January 19, 2024
Online estimation of objective function for continuous-time deterministic systemsHamed Jabbari Asl, Eiji Uchibe
Frontiers 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 Doya
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 Doya
Frontiers 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 Doya
Neural 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 Doya
Frontiers 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 Doya
Neural 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 Uchibe
Pageof 2