Eiji Uchibe

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 38

Top Topics

Reinforcement Learning

Top Venues

Neural Networks

Frontiers Neurorobotics

Publications

Hamed Jabbari Asl, Eiji Uchibe
Estimating cost function of expert players in differential games: A model-based method and its data-driven extension. Expert Syst. Appl. 255 (2024)
Hamed Jabbari Asl, Eiji Uchibe
Online estimation of objective function for continuous-time deterministic systems. Neural Networks 172 (2024)
Jiexin Wang, Eiji Uchibe
Reward-Punishment Reinforcement Learning with Maximum Entropy. CoRR (2024)
Satoshi Yagi, Mitsunori Tada, Eiji Uchibe, Suguru Kanoga, Takamitsu Matsubara, Jun Morimoto
Unsupervised Neural Motion Retargeting for Humanoid Teleoperation. CoRR (2024)
Hamed Jabbari Asl, Eiji Uchibe
Online Reinforcement Learning Control of Nonlinear Dynamic Systems: A State-action Value Function Based Solution. Neurocomputing 544 (2023)
Eiji Uchibe
Model-Based Imitation Learning Using Entropy Regularization of Model and Policy. IEEE Robotics Autom. Lett. 7 (4) (2022)
Hamed Jabbari Asl, Eiji Uchibe
Online Data-Driven Inverse Reinforcement Learning for Deterministic Systems. SSCI (2022)
Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara
Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning. CoRR (2022)
Eiji Uchibe
Model-Based Imitation Learning Using Entropy Regularization of Model and Policy. CoRR (2022)
Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara
q-Munchausen Reinforcement Learning. CoRR (2022)
Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara
Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation. IEEE Robotics Autom. Lett. 7 (4) (2022)
Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara
Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation. CoRR (2022)
Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup, David Silver, Masashi Sugiyama, Eiji Uchibe, Jun Morimoto
Deep learning, reinforcement learning, and world models. Neural Networks 152 (2022)
Tom Macpherson, Masayuki Matsumoto, Hiroaki Gomi, Jun Morimoto, Eiji Uchibe, Takatoshi Hikida
Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control. Neural Networks 144 (2021)
Jiexin Wang, Stefan Elfwing, Eiji Uchibe
Modular deep reinforcement learning from reward and punishment for robot navigation. Neural Networks 135 (2021)
Eiji Uchibe, Kenji Doya
Forward and inverse reinforcement learning sharing network weights and hyperparameters. Neural Networks 144 (2021)
Eiji Uchibe, Kenji Doya
Imitation learning based on entropy-regularized forward and inverse reinforcement learning. CoRR (2020)
Tadashi Kozuno, Eiji Uchibe, Kenji Doya
Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning. AISTATS (2019)
Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara
Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation. Robotics Auton. Syst. 112 (2019)
Shota Ohnishi, Eiji Uchibe, Yotaro Yamaguchi, Kosuke Nakanishi, Yuji Yasui, Shin Ishii
Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning. Frontiers Neurorobotics 13 (2019)
Eiji Uchibe
Model-Free Deep Inverse Reinforcement Learning by Logistic Regression. Neural Process. Lett. 47 (3) (2018)
Eiji Uchibe
Cooperative and Competitive Reinforcement and Imitation Learning for a Mixture of Heterogeneous Learning Modules. Frontiers Neurorobotics 12 (2018)
Stefan Elfwing, Eiji Uchibe, Kenji Doya
Online meta-learning by parallel algorithm competition. GECCO (2018)
Stefan Elfwing, Eiji Uchibe, Kenji Doya
Sigmoid-weighted linear units for neural network function approximation in reinforcement learning. Neural Networks 107 (2018)
Stefan Elfwing, Eiji Uchibe, Kenji Doya
Unbounded Output Networks for Classification. CoRR (2018)
Jiexin Wang, Stefan Elfwing, Eiji Uchibe
Deep Reinforcement Learning by Parallelizing Reward and Punishment using the MaxPain Architecture. ICDL-EPIROB (2018)
Ken Kinjo, Eiji Uchibe, Kenji Doya
Robustness of linearly solvable Markov games employing inaccurate dynamics model. Artif. Life Robotics 23 (1) (2018)
Eiji Uchibe
Efficient sample reuse in policy search by multiple importance sampling. GECCO (2018)
Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara
Deep dynamic policy programming for robot control with raw images. IROS (2017)
Stefan Elfwing, Eiji Uchibe, Kenji Doya
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning. CoRR (2017)
Jiexin Wang, Eiji Uchibe, Kenji Doya
Adaptive Baseline Enhances EM-Based Policy Search: Validation in a View-Based Positioning Task of a Smartphone Balancer. Frontiers Neurorobotics 11 (2017)
Chris Reinke, Eiji Uchibe, Kenji Doya
Average Reward Optimization with Multiple Discounting Reinforcement Learners. ICONIP (1) (2017)
Tadashi Kozuno, Eiji Uchibe, Kenji Doya
Unifying Value Iteration, Advantage Learning, and Dynamic Policy Programming. CoRR (2017)
Stefan Elfwing, Eiji Uchibe, Kenji Doya
Online Meta-learning by Parallel Algorithm Competition. CoRR (2017)
Eiji Uchibe
Deep Inverse Reinforcement Learning by Logistic Regression. ICONIP (1) (2016)
Qiong Huang, Eiji Uchibe, Kenji Doya
Emergence of communication among reinforcement learning agents under coordination environment. ICDL-EPIROB (2016)
Stefan Elfwing, Eiji Uchibe, Kenji Doya
From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning. Neural Networks 84 (2016)
Jiexin Wang, Eiji Uchibe, Kenji Doya
EM-based policy hyper parameter exploration: application to standing and balancing of a two-wheeled smartphone robot. Artif. Life Robotics 21 (1) (2016)
Stefan Elfwing, Eiji Uchibe, Kenji Doya
Expected energy-based restricted Boltzmann machine for classification. Neural Networks 64 (2015)
Eiji Uchibe, Kenji Doya
Combining learned controllers to achieve new goals based on linearly solvable MDPs. ICRA (2014)
Eiji Uchibe, Kenji Doya
Inverse reinforcement learning using Dynamic Policy Programming. ICDL-EPIROB (2014)
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 (2013)
Ken Kinjo, Eiji Uchibe, Kenji Doya
Evaluation of linearly solvable Markov decision process with dynamic model learning in a mobile robot navigation task. Frontiers Neurorobotics 7 (2013)
Naoto Yoshida, Eiji Uchibe, Kenji Doya
Reinforcement learning with state-dependent discount factor. ICDL-EPIROB (2013)
Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen
Darwinian embodied evolution of the learning ability for survival. Adapt. Behav. 19 (2) (2011)
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)
Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Jan Peters, Kenji Doya
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. Neural Comput. 22 (2) (2010)
Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya
A Generalized Natural Actor-Critic Algorithm. NIPS (2009)
Stefan Elfwing, Eiji Uchibe, Kenji Doya
Emergence of Different Mating Strategies in Artificial Embodied Evolution. ICONIP (2) (2009)
Takashi Sato, Eiji Uchibe, Kenji Doya
Learning how, what, and whether to communicate: emergence of protocommunication in reinforcement learning agents. Artif. Life Robotics 12 (1-2) (2008)
Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen
Co-evolution of Shaping Rewards and Meta-Parameters in Reinforcement Learning. Adapt. Behav. 16 (6) (2008)
Takumi Kamioka, Eiji Uchibe, Kenji Doya
NeuroEvolution Based on Reusable and Hierarchical Modular Representation. ICONIP (1) (2008)
Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya
A New Natural Policy Gradient by Stationary Distribution Metric. ECML/PKDD (2) (2008)
Eiji Uchibe, Kenji Doya
Finding intrinsic rewards by embodied evolution and constrained reinforcement learning. Neural Networks 21 (10) (2008)
Tetsuro Morimura, Eiji Uchibe, Kenji Doya
Natural actor-critic with baseline adjustment for variance reduction. Artif. Life Robotics 13 (1) (2008)
Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen
Evolutionary Development of Hierarchical Learning Structures. IEEE Trans. Evol. Comput. 11 (2) (2007)
Eiji Uchibe, Kenji Doya
Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents. ICONIP (2) (2007)
Eiji Uchibe, Minoru Asada
Incremental Coevolution With Competitive and Cooperative Tasks in a Multirobot Environment. Proc. IEEE 94 (7) (2006)
Kenji Doya, Eiji Uchibe
The Cyber Rodent Project: Exploration of Adaptive Mechanisms for Self-Preservation and Self-Reproduction. Adapt. Behav. 13 (2) (2005)
Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen
Biologically inspired embodied evolution of survival. Congress on Evolutionary Computation (2005)
Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen
Multi-agent reinforcement learning: using macro actions to learn a mating task. IROS (2004)
Stefan Elfwing, Eiji Uchibe, Kenji Doya
An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning. GECCO (2003)
Eiji Uchibe, Masakazu Yanase, Minoru Asada
Behavior generation for a mobile robot based on the adaptive fitness function. Robotics Auton. Syst. 40 (2-3) (2002)
Minoru Asada, Eiji Uchibe
Multiagent Learning towards RoboCup. New Gener. Comput. 19 (2) (2001)
Eiji Uchibe, Masakazu Yanase, Minoru Asada
Evolutionary Behavior Selection with Activation/Termination Constraints. RoboCup (2001)
Eiji Uchibe, Tatsunori Kato, Koh Hosoda, Minoru Asada
Dynamic Task Assignment in a Multiagent/Multitask Environment based on Module Conflict Resolution. ICRA (2001)
Yasutake Takahashi, Eiji Uchibe, Takahashi Tamura, Masakazu Yanase, Shoichi Ikenoue, Shujiro Inui, Minoru Asada
Osaka University "Trackies 2000". RoboCup (2000)
Sho'ji Suzuki, Tatsunori Kato, Hiroshi Ishizuka, Hiroyoshi Kawanishi, Takashi Tamura, Masakazu Yanase, Yasutake Takahashi, Eiji Uchibe, Minoru Asada
The Team Description of Osaka University "Trackies-99". RoboCup (1999)
Eiji Uchibe, Minoru Asada
Multiple Reward Criterion for Cooperative Behavior Acquisition in a Muliagent Environment. RoboCup (1999)
Minoru Asada, Eiji Uchibe, Koh Hosoda
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning and Development. Artif. Intell. 110 (2) (1999)
Eiji Uchibe, Minoru Asada, Koh Hosoda
Environmental Complexity Control for Vision-Based Learning Mobile Robot. ICRA (1998)
Minoru Asada, Sho'ji Suzuki, Yasutake Takahashi, Eiji Uchibe, Masateru Nakamura, Chizuko Mishima, Hiroshi Ishizuka, Tatsunori Kato
TRACKIES: RoboCup-97 Middle-Size League World Cochampion. AI Mag. 19 (3) (1998)
Sho'ji Suzuki, Tatsunori Kato, Hiroshi Ishizuka, Yasutake Takahashi, Eiji Uchibe, Minoru Asada
An Application of Vision-Based Learning in RoboCup for a Real Robot with an Omnidirectional Vision System and the Team Description of Osaka University "Trackies". RoboCup (1998)
Eiji Uchibe, Masateru Nakamura, Minoru Asada
Cooperative Behavior Acquisition in a Multiple Mobile Robot Environment by Co-evolution. RoboCup (1998)
Eiji Uchibe, Masateru Nakamura, Minoru Asada
Co-evolution for cooperative behavior acquisition in a multiple mobile robot environment. IROS (1998)
Eiji Uchibe, Minoru Asada, Koh Hosoda
State Space Construction for Behavior Acquisition in Multi Agent Environments with Vision and Action. ICCV (1998)
Eiji Uchibe, Minoru Asada, Koh Hosoda
Cooperative Behavior Acquisition in Multi Mobile Robots Environment by Reinforcement Learning Based on State Vector Estimation. ICRA (1998)
Eiji Uchibe, Minoru Asada, Koh Hosoda
Vision Based State Space Construction for Learning Mobile Robots in Multi-agent Environments. EWLR (1997)
Sho'ji Suzuki, Yasutake Takahashi, Eiji Uchibe, Masateru Nakamura, Chizuko Mishima, Hiroshi Ishizuka, Tatsunori Kato, Minoru Asada
Vision-Based Robot Learning Towards RoboCup: Osaka University "Trackies". RoboCup (1997)
Eiji Uchibe, Minoru Asada, Koh Hosoda
Behavior coordination for a mobile robot using modular reinforcement learning. IROS (1996)
Minoru Asada, Eiji Uchibe, Shoichi Noda, Sukoya Tawaratsumida, Koh Hosoda
Coordination of multiple behaviors acquired by a vision-based reinforcement learning. IROS (1994)