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Eiji Uchibe
Eiji Uchibe
Dept. of Brain Robot Interface, ATR Computational Neuroscience Labs.
Verified email at atr.jp - Homepage
Title
Cited by
Cited by
Year
Sigmoid-weighted linear units for neural network function approximation in reinforcement learning
S Elfwing, E Uchibe, K Doya
Neural Networks 107, 3-11, 2018
11712018
Cooperative behavior acquisition for mobile robots in dynamically changing real worlds via vision-based reinforcement learning and development
M Asada, E Uchibe, K Hosoda
Artificial Intelligence 110 (2), 275-292, 1999
2051999
Deep learning, reinforcement learning, and world models
Y Matsuo, Y LeCun, M Sahani, D Precup, D Silver, M Sugiyama, E Uchibe, ...
Neural Networks 152, 267-275, 2022
1702022
Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation
Y Tsurumine, Y Cui, E Uchibe, T Matsubara
Robotics and Autonomous Systems 112, 72-83, 2019
1682019
Behavior coordination for a mobile robot using modular reinforcement learning
E Uchibe, M Asada, K Hosoda
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and …, 1996
1281996
Coordination of multiple behaviors acquired by a vision-based reinforcement learning
M Asada, E Uchibe, S Noda, S Tawaratsumida, K Hosoda
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and …, 1994
991994
The cyber rodent project: Exploration of adaptive mechanisms for self-preservation and self-reproduction
K Doya, E Uchibe
Adaptive Behavior 13 (2), 149-160, 2005
862005
Competitive-cooperative-concurrent reinforcement learning with importance sampling
E Uchibe, K Doya
Proc. of International Conference on Simulation of Adaptive Behavior: From …, 2004
722004
Constrained reinforcement learning from intrinsic and extrinsic rewards
E Uchibe, K Doya
2007 IEEE 6th International Conference on Development and Learning, 163-168, 2007
652007
Constrained Deep Q-learning gradually approaching ordinary Q-learning
S Ohnishi, E Uchibe, K Nakanishi, S Ishii
Frontiers in Neurorobotics 13, 103, 2019
602019
Biologically inspired embodied evolution of survival
S Elfwing, E Uchibe, K Doya, HI Christensen
2005 IEEE Congress on Evolutionary Computation 3, 2210-2216, 2005
532005
Evolutionary development of hierarchical learning structures
S Elfwing, E Uchibe, K Doya, HI Christensen
Evolutionary Computation, IEEE Transactions on 11 (2), 249-264, 2007
472007
Cooperative behavior acquisition in multi-mobile robots environment by reinforcement learning based on state vector estimation
E Uchibe, M Asada, K Hosoda
Proceedings. 1998 IEEE International Conference on Robotics and Automation …, 1998
451998
Cooperative behavior acquisition in multi-mobile robots environment by reinforcement learning based on state vector estimation
E Uchibe, M Asada, K Hosoda
Proceedings. 1998 IEEE International Conference on Robotics and Automation …, 1998
451998
Model-free deep inverse reinforcement learning by logistic regression
E Uchibe
Neural Processing Letters 47 (3), 891-905, 2018
442018
Co-evolution for cooperative behavior acquisition in a multiple mobile robot environment
E Uchibe, M Nakamura, M Asada
Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots …, 1998
431998
Expected energy-based restricted Boltzmann machine for classification
S Elfwing, E Uchibe, K Doya
Neural Networks 64, 29-38, 2015
422015
Utilizing the natural gradient in temporal difference reinforcement learning with eligibility traces
T Morimura, E Uchibe, K Doya
International Symposium on Information Geometry and Its Applications, 256-263, 2005
412005
Modular deep reinforcement learning from reward and punishment for robot navigation
J Wang, S Elfwing, E Uchibe
Neural Networks 135, 115-126, 2021
402021
Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning
T Kozuno, E Uchibe, K Doya
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
402019
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Articles 1–20