Coordination of multiple behaviors acquired by a vision-based reinforcement learning. - Minoru Asada; Eiji Uchibe; Shoichi Noda; Sukoya Tawaratsumida; Koh Hosoda (IROS, 1994)

Behavior coordination for a mobile robot using modular reinforcement learning. - Eiji Uchibe; Minoru Asada; Koh Hosoda (IROS, 1996)

Vision Based State Space Construction for Learning Mobile Robots in Multi-agent Environments. - Eiji Uchibe; Minoru Asada; Koh Hosoda (EWLR, 1997)

Vision-Based Robot Learning Towards RoboCup: Osaka University "Trackies". - Sho'ji Suzuki; Yasutake Takahashi; Eiji Uchibe; Masateru Nakamura; Chizuko Mishima; Hiroshi Ishizuka; Tatsunori Kato; Minoru Asada (RoboCup, 1997)

State Space Construction for Behavior Acquisition in Multi Agent Environments with Vision and Action. - Eiji Uchibe; Minoru Asada; Koh Hosoda (ICCV, 1998)

Cooperative Behavior Acquisition in Multi Mobile Robots Environment by Reinforcement Learning Based on State Vector Estimation. - Eiji Uchibe; Minoru Asada; Koh Hosoda (ICRA, 1998)

Environmental Complexity Control for Vision-Based Learning Mobile Robot. - Eiji Uchibe; Minoru Asada; Koh Hosoda (ICRA, 1998)

Co-evolution for cooperative behavior acquisition in a multiple mobile robot environment. - Eiji Uchibe; Masateru Nakamura; Minoru Asada (IROS, 1998)

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". - Sho'ji Suzuki; Tatsunori Kato; Hiroshi Ishizuka; Yasutake Takahashi; Eiji Uchibe; Minoru Asada (RoboCup, 1998)

Cooperative Behavior Acquisition in a Multiple Mobile Robot Environment by Co-evolution. - Eiji Uchibe; Masateru Nakamura; Minoru Asada (RoboCup, 1998)

TRACKIES: RoboCup-97 Middle-Size League World Cochampion. - Minoru Asada; Sho'ji Suzuki; Yasutake Takahashi; Eiji Uchibe; Masateru Nakamura; Chizuko Mishima; Hiroshi Ishizuka; Tatsunori Kato (AI Mag., 1998)

The Team Description of Osaka University "Trackies-99". - Sho'ji Suzuki; Tatsunori Kato; Hiroshi Ishizuka; Hiroyoshi Kawanishi; Takashi Tamura; Masakazu Yanase; Yasutake Takahashi; Eiji Uchibe; Minoru Asada (RoboCup, 1999)

Multiple Reward Criterion for Cooperative Behavior Acquisition in a Muliagent Environment. - Eiji Uchibe; Minoru Asada (RoboCup, 1999)

Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning and Development. - Minoru Asada; Eiji Uchibe; Koh Hosoda (Artif. Intell., 1999)

Osaka University "Trackies 2000". - Yasutake Takahashi; Eiji Uchibe; Takahashi Tamura; Masakazu Yanase; Shoichi Ikenoue; Shujiro Inui; Minoru Asada (RoboCup, 2000)

Dynamic Task Assignment in a Multiagent/Multitask Environment based on Module Conflict Resolution. - Eiji Uchibe; Tatsunori Kato; Koh Hosoda; Minoru Asada (ICRA, 2001)

Evolutionary Behavior Selection with Activation/Termination Constraints. - Eiji Uchibe; Masakazu Yanase; Minoru Asada (RoboCup, 2001)

Multiagent Learning towards RoboCup. - Minoru Asada; Eiji Uchibe (New Gener. Comput., 2001)

Behavior generation for a mobile robot based on the adaptive fitness function. - Eiji Uchibe; Masakazu Yanase; Minoru Asada (Robotics Auton. Syst., 2002)

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)

The Cyber Rodent Project: Exploration of Adaptive Mechanisms for Self-Preservation and Self-Reproduction. - Kenji Doya; Eiji Uchibe (Adapt. Behav., 2005)

Incremental Coevolution With Competitive and Cooperative Tasks in a Multirobot Environment. - Eiji Uchibe; Minoru Asada (Proc. IEEE, 2006)

Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents. - Eiji Uchibe; Kenji Doya (ICONIP (2), 2007)

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

NeuroEvolution Based on Reusable and Hierarchical Modular Representation. - Takumi Kamioka; Eiji Uchibe; Kenji Doya (ICONIP (1), 2008)

A New Natural Policy Gradient by Stationary Distribution Metric. - Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Kenji Doya (ECML/PKDD (2), 2008)

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

Natural actor-critic with baseline adjustment for variance reduction. - Tetsuro Morimura; Eiji Uchibe; Kenji Doya (Artif. Life Robotics, 2008)

Learning how, what, and whether to communicate: emergence of protocommunication in reinforcement learning agents. - Takashi Sato; Eiji Uchibe; Kenji Doya (Artif. Life Robotics, 2008)

Finding intrinsic rewards by embodied evolution and constrained reinforcement learning. - Eiji Uchibe; Kenji Doya (Neural Networks, 2008)

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

A Generalized Natural Actor-Critic Algorithm. - Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Kenji Doya (NIPS, 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)

Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. - Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Jan Peters 001; Kenji Doya (Neural Comput., 2010)

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

Reinforcement learning with state-dependent discount factor. - Naoto Yoshida; Eiji Uchibe; Kenji Doya (ICDL-EPIROB, 2013)

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)

Evaluation of linearly solvable Markov decision process with dynamic model learning in a mobile robot navigation task. - Ken Kinjo; Eiji Uchibe; Kenji Doya (Frontiers Neurorobotics, 2013)

Inverse reinforcement learning using Dynamic Policy Programming. - Eiji Uchibe; Kenji Doya (ICDL-EPIROB, 2014)

Combining learned controllers to achieve new goals based on linearly solvable MDPs. - Eiji Uchibe; Kenji Doya (ICRA, 2014)

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

Emergence of communication among reinforcement learning agents under coordination environment. - Qiong Huang 003; Eiji Uchibe; Kenji Doya (ICDL-EPIROB, 2016)

Deep Inverse Reinforcement Learning by Logistic Regression. - Eiji Uchibe (ICONIP (1), 2016)

EM-based policy hyper parameter exploration: application to standing and balancing of a two-wheeled smartphone robot. - Jiexin Wang; Eiji Uchibe; Kenji Doya (Artif. Life Robotics, 2016)

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

Average Reward Optimization with Multiple Discounting Reinforcement Learners. - Chris Reinke; Eiji Uchibe; Kenji Doya (ICONIP (1), 2017)

Deep dynamic policy programming for robot control with raw images. - Yoshihisa Tsurumine; Yunduan Cui; Eiji Uchibe; Takamitsu Matsubara (IROS, 2017)

Unifying Value Iteration, Advantage Learning, and Dynamic Policy Programming. - Tadashi Kozuno; Eiji Uchibe; Kenji Doya (CoRR, 2017)

Adaptive Baseline Enhances EM-Based Policy Search: Validation in a View-Based Positioning Task of a Smartphone Balancer. - Jiexin Wang; Eiji Uchibe; Kenji Doya (Frontiers Neurorobotics, 2017)

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

Efficient sample reuse in policy search by multiple importance sampling. - Eiji Uchibe (GECCO, 2018)

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

Robustness of linearly solvable Markov games employing inaccurate dynamics model. - Ken Kinjo; Eiji Uchibe; Kenji Doya (Artif. Life Robotics, 2018)

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

Cooperative and Competitive Reinforcement and Imitation Learning for a Mixture of Heterogeneous Learning Modules. - Eiji Uchibe (Frontiers Neurorobotics, 2018)

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

Model-Free Deep Inverse Reinforcement Learning by Logistic Regression. - Eiji Uchibe (Neural Process. Lett., 2018)

Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning. - Tadashi Kozuno; Eiji Uchibe; Kenji Doya (AISTATS, 2019)

Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning. - Shota Ohnishi; Eiji Uchibe; Yotaro Yamaguchi; Kosuke Nakanishi; Yuji Yasui; Shin Ishii (Frontiers Neurorobotics, 2019)

Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation. - Yoshihisa Tsurumine; Yunduan Cui; Eiji Uchibe; Takamitsu Matsubara (Robotics Auton. Syst., 2019)

Imitation learning based on entropy-regularized forward and inverse reinforcement learning. - Eiji Uchibe; Kenji Doya (CoRR, 2020)

Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control. - Tom Macpherson; Masayuki Matsumoto; Hiroaki Gomi; Jun Morimoto; Eiji Uchibe; Takatoshi Hikida (Neural Networks, 2021)

Forward and inverse reinforcement learning sharing network weights and hyperparameters. - Eiji Uchibe; Kenji Doya (Neural Networks, 2021)

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

Online Data-Driven Inverse Reinforcement Learning for Deterministic Systems. - Hamed Jabbari Asl; Eiji Uchibe (SSCI, 2022)

q-Munchausen Reinforcement Learning. - Lingwei Zhu; Zheng Chen 012; Eiji Uchibe; Takamitsu Matsubara (CoRR, 2022)

Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning. - Lingwei Zhu; Zheng Chen 012; Eiji Uchibe; Takamitsu Matsubara (CoRR, 2022)

Deep learning, reinforcement learning, and world models. - Yutaka Matsuo; Yann LeCun; Maneesh Sahani; Doina Precup; David Silver; Masashi Sugiyama; Eiji Uchibe; Jun Morimoto (Neural Networks, 2022)

Model-Based Imitation Learning Using Entropy Regularization of Model and Policy. - Eiji Uchibe (IEEE Robotics Autom. Lett., 2022)

Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation. - Tomoya Yamanokuchi; Yuhwan Kwon; Yoshihisa Tsurumine; Eiji Uchibe; Jun Morimoto; Takamitsu Matsubara (IEEE Robotics Autom. Lett., 2022)

Online Reinforcement Learning Control of Nonlinear Dynamic Systems: A State-action Value Function Based Solution. - Hamed Jabbari Asl; Eiji Uchibe (Neurocomputing, 2023)

Reward-Punishment Reinforcement Learning with Maximum Entropy. - Jiexin Wang; Eiji Uchibe (IJCNN, 2024)

Unsupervised Neural Motion Retargeting for Humanoid Teleoperation. - Satoshi Yagi; Mitsunori Tada; Eiji Uchibe; Suguru Kanoga; Takamitsu Matsubara; Jun Morimoto (CoRR, 2024)

Estimating cost function of expert players in differential games: A model-based method and its data-driven extension. - Hamed Jabbari Asl; Eiji Uchibe (Expert Syst. Appl., 2024)

Online estimation of objective function for continuous-time deterministic systems. - Hamed Jabbari Asl; Eiji Uchibe (Neural Networks, 2024)

Inverse reinforcement learning methods for linear differential games. - Hamed Jabbari Asl; Eiji Uchibe (Syst. Control. Lett., 2024)

Theoretical Guarantees for Minimum Bayes Risk Decoding. - Yuki Ichihara; Yuu Jinnai; Kaito Ariu; Tetsuro Morimura; Eiji Uchibe (ACL (1), 2025)

Dynamic bimanual human-to-robot object handovers using motion prediction deep neural networks. - Matija Mavsar; Eiji Uchibe; Jun Morimoto; Ales Ude (SII, 2025)

Evaluation of Best-of-N Sampling Strategies for Language Model Alignment. - Yuki Ichihara; Yuu Jinnai; Tetsuro Morimura; Kenshi Abe; Kaito Ariu; Mitsuki Sakamoto; Eiji Uchibe (Trans. Mach. Learn. Res., 2025)

Data-Driven Inverse Optimal Control for Continuous-Time Nonlinear Systems. - Hamed Jabbari Asl; Eiji Uchibe (CoRR, 2025)