Eiji Uchibe - RankMe

93 papers A* 5A 9B 2C 7Journal 52Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Consensus Group Relative Policy Optimization for Text Generation. CoRR Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Eiji Uchibe
2025	J	`jnl`	Data-Driven Inverse Optimal Control for Continuous-Time Nonlinear Systems. CoRR Hamed Jabbari Asl, Eiji Uchibe
2025	—	`conf`	Dynamic bimanual human-to-robot object handovers using motion prediction deep neural networks. SII Matija Mavsar, Eiji Uchibe, Jun Morimoto, Ales Ude
2025	J	`jnl`	Evaluation of Best-of-N Sampling Strategies for Language Model Alignment. CoRR Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe, Mitsuki Sakamoto, Eiji Uchibe
2025	J	`jnl`	Evaluation of Best-of-N Sampling Strategies for Language Model Alignment. Trans. Mach. Learn. Res. Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Eiji Uchibe
2025	—	`conf`	Human-in-the-Loop Generative Policy Learning from Demonstrations and Preferences. ICONIP (5) Eiji Uchibe
2025	J	`jnl`	MO-GRPO: Mitigating Reward Hacking of Group Relative Policy Optimization on Multi-Objective Problems. CoRR Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Mitsuki Sakamoto, Ryota Mitsuhashi, Eiji Uchibe
2025	—	`conf`	Theoretical Guarantees for Minimum Bayes Risk Decoding. ACL (1) Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Tetsuro Morimura, Eiji Uchibe
2025	J	`jnl`	Theoretical Guarantees for Minimum Bayes Risk Decoding. CoRR Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Tetsuro Morimura, Eiji Uchibe
2024	J	`jnl`	Estimating cost function of expert players in differential games: A model-based method and its data-driven extension. Expert Syst. Appl. Hamed Jabbari Asl, Eiji Uchibe
2024	J	`jnl`	Inverse reinforcement learning methods for linear differential games. Syst. Control. Lett. Hamed Jabbari Asl, Eiji Uchibe
2024	J	`jnl`	Online estimation of objective function for continuous-time deterministic systems. Neural Networks Hamed Jabbari Asl, Eiji Uchibe
2024	B	`conf`	Reward-Punishment Reinforcement Learning with Maximum Entropy. IJCNN Jiexin Wang, Eiji Uchibe
2024	J	`jnl`	Reward-Punishment Reinforcement Learning with Maximum Entropy. CoRR Jiexin Wang, Eiji Uchibe
2024	J	`jnl`	Unsupervised Neural Motion Retargeting for Humanoid Teleoperation. CoRR Satoshi Yagi, Mitsunori Tada, Eiji Uchibe, Suguru Kanoga, Takamitsu Matsubara, Jun Morimoto
2023	J	`jnl`	Online Reinforcement Learning Control of Nonlinear Dynamic Systems: A State-action Value Function Based Solution. Neurocomputing Hamed Jabbari Asl, Eiji Uchibe
2022	J	`jnl`	Deep learning, reinforcement learning, and world models. Neural Networks Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup, David Silver, Masashi Sugiyama, Eiji Uchibe, Jun Morimoto
2022	J	`jnl`	Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning. CoRR Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara
2022	J	`jnl`	Model-Based Imitation Learning Using Entropy Regularization of Model and Policy. CoRR Eiji Uchibe
2022	J	`jnl`	Model-Based Imitation Learning Using Entropy Regularization of Model and Policy. IEEE Robotics Autom. Lett. Eiji Uchibe
2022	—	`conf`	Online Data-Driven Inverse Reinforcement Learning for Deterministic Systems. SSCI Hamed Jabbari Asl, Eiji Uchibe
2022	J	`jnl`	Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation. IEEE Robotics Autom. Lett. Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara
2022	J	`jnl`	Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation. CoRR Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara
2022	J	`jnl`	q-Munchausen Reinforcement Learning. CoRR Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara
2021	J	`jnl`	Forward and inverse reinforcement learning sharing network weights and hyperparameters. Neural Networks Eiji Uchibe, Kenji Doya
2021	J	`jnl`	Modular deep reinforcement learning from reward and punishment for robot navigation. Neural Networks Jiexin Wang, Stefan Elfwing, Eiji Uchibe
2021	J	`jnl`	Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control. Neural Networks Tom Macpherson, Masayuki Matsumoto, Hiroaki Gomi, Jun Morimoto, Eiji Uchibe, Takatoshi Hikida
2020	J	`jnl`	Imitation learning based on entropy-regularized forward and inverse reinforcement learning. CoRR Eiji Uchibe, Kenji Doya
2019	J	`jnl`	Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning. Frontiers Neurorobotics Shota Ohnishi, Eiji Uchibe, Yotaro Yamaguchi, Kosuke Nakanishi, Yuji Yasui, Shin Ishii
2019	J	`jnl`	Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation. Robotics Auton. Syst. Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara
2019	A	`conf`	Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning. AISTATS Tadashi Kozuno, Eiji Uchibe, Kenji Doya
2018	J	`jnl`	Cooperative and Competitive Reinforcement and Imitation Learning for a Mixture of Heterogeneous Learning Modules. Frontiers Neurorobotics Eiji Uchibe
2018	—	`conf`	Deep Reinforcement Learning by Parallelizing Reward and Punishment using the MaxPain Architecture. ICDL-EPIROB Jiexin Wang, Stefan Elfwing, Eiji Uchibe
2018	A	`conf`	Efficient sample reuse in policy search by multiple importance sampling. GECCO Eiji Uchibe
2018	J	`jnl`	Model-Free Deep Inverse Reinforcement Learning by Logistic Regression. Neural Process. Lett. Eiji Uchibe
2018	A	`conf`	Online meta-learning by parallel algorithm competition. GECCO Stefan Elfwing, Eiji Uchibe, Kenji Doya
2018	J	`jnl`	Robustness of linearly solvable Markov games employing inaccurate dynamics model. Artif. Life Robotics Ken Kinjo, Eiji Uchibe, Kenji Doya
2018	J	`jnl`	Sigmoid-weighted linear units for neural network function approximation in reinforcement learning. Neural Networks Stefan Elfwing, Eiji Uchibe, Kenji Doya
2018	J	`jnl`	Unbounded Output Networks for Classification. CoRR Stefan Elfwing, Eiji Uchibe, Kenji Doya
2017	J	`jnl`	Adaptive Baseline Enhances EM-Based Policy Search: Validation in a View-Based Positioning Task of a Smartphone Balancer. Frontiers Neurorobotics Jiexin Wang, Eiji Uchibe, Kenji Doya
2017	—	`conf`	Average Reward Optimization with Multiple Discounting Reinforcement Learners. ICONIP (1) Chris Reinke, Eiji Uchibe, Kenji Doya
2017	A	`conf`	Deep dynamic policy programming for robot control with raw images. IROS Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara
2017	J	`jnl`	Online Meta-learning by Parallel Algorithm Competition. CoRR Stefan Elfwing, Eiji Uchibe, Kenji Doya
2017	J	`jnl`	Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning. CoRR Stefan Elfwing, Eiji Uchibe, Kenji Doya
2017	J	`jnl`	Unifying Value Iteration, Advantage Learning, and Dynamic Policy Programming. CoRR Tadashi Kozuno, Eiji Uchibe, Kenji Doya
2016	—	`conf`	Deep Inverse Reinforcement Learning by Logistic Regression. ICONIP (1) Eiji Uchibe
2016	J	`jnl`	EM-based policy hyper parameter exploration: application to standing and balancing of a two-wheeled smartphone robot. Artif. Life Robotics Jiexin Wang, Eiji Uchibe, Kenji Doya
2016	—	`conf`	Emergence of communication among reinforcement learning agents under coordination environment. ICDL-EPIROB Qiong Huang, Eiji Uchibe, Kenji Doya
2016	J	`jnl`	From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning. Neural Networks Stefan Elfwing, Eiji Uchibe, Kenji Doya
2015	J	`jnl`	Expected energy-based restricted Boltzmann machine for classification. Neural Networks Stefan Elfwing, Eiji Uchibe, Kenji Doya
2014	A*	`conf`	Combining learned controllers to achieve new goals based on linearly solvable MDPs. ICRA Eiji Uchibe, Kenji Doya
2014	—	`conf`	Inverse reinforcement learning using Dynamic Policy Programming. ICDL-EPIROB Eiji Uchibe, Kenji Doya
2013	J	`jnl`	Evaluation of linearly solvable Markov decision process with dynamic model learning in a mobile robot navigation task. Frontiers Neurorobotics Ken Kinjo, Eiji Uchibe, Kenji Doya
2013	—	`conf`	Reinforcement learning with state-dependent discount factor. ICDL-EPIROB Naoto Yoshida, Eiji Uchibe, Kenji Doya
2013	J	`jnl`	Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces. Frontiers Neurorobotics Stefan Elfwing, Eiji Uchibe, Kenji Doya
2011	J	`jnl`	Darwinian embodied evolution of the learning ability for survival. Adapt. Behav. Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen
2010	J	`jnl`	Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. Neural Comput. Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Jan Peters, Kenji Doya
2010	—	`conf`	Free-Energy Based Reinforcement Learning for Vision-Based Navigation with High-Dimensional Sensory Inputs. ICONIP (1) Stefan Elfwing, Makoto Otsuka, Eiji Uchibe, Kenji Doya
2009	—	`conf`	A Generalized Natural Actor-Critic Algorithm. NIPS Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya
2009	—	`ch.`	Co-evolution of Rewards and Meta-parameters in Embodied Evolution. Creating Brain-Like Intelligence Stefan Elfwing, Eiji Uchibe, Kenji Doya
2009	—	`conf`	Emergence of Different Mating Strategies in Artificial Embodied Evolution. ICONIP (2) Stefan Elfwing, Eiji Uchibe, Kenji Doya
2008	—	`conf`	A New Natural Policy Gradient by Stationary Distribution Metric. ECML/PKDD (2) Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya
2008	J	`jnl`	Co-evolution of Shaping Rewards and Meta-Parameters in Reinforcement Learning. Adapt. Behav. Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen
2008	J	`jnl`	Finding intrinsic rewards by embodied evolution and constrained reinforcement learning. Neural Networks Eiji Uchibe, Kenji Doya
2008	J	`jnl`	Learning how, what, and whether to communicate: emergence of protocommunication in reinforcement learning agents. Artif. Life Robotics Takashi Sato, Eiji Uchibe, Kenji Doya
2008	J	`jnl`	Natural actor-critic with baseline adjustment for variance reduction. Artif. Life Robotics Tetsuro Morimura, Eiji Uchibe, Kenji Doya
2008	—	`conf`	NeuroEvolution Based on Reusable and Hierarchical Modular Representation. ICONIP (1) Takumi Kamioka, Eiji Uchibe, Kenji Doya
2007	J	`jnl`	Evolutionary Development of Hierarchical Learning Structures. IEEE Trans. Evol. Comput. Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen
2007	—	`conf`	Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents. ICONIP (2) Eiji Uchibe, Kenji Doya
2006	J	`jnl`	Incremental Coevolution With Competitive and Cooperative Tasks in a Multirobot Environment. Proc. IEEE Eiji Uchibe, Minoru Asada
2005	B	`conf`	Biologically inspired embodied evolution of survival. Congress on Evolutionary Computation Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen
2005	J	`jnl`	The Cyber Rodent Project: Exploration of Adaptive Mechanisms for Self-Preservation and Self-Reproduction. Adapt. Behav. Kenji Doya, Eiji Uchibe
2004	A	`conf`	Multi-agent reinforcement learning: using macro actions to learn a mating task. IROS Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen
2003	A	`conf`	An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning. GECCO Stefan Elfwing, Eiji Uchibe, Kenji Doya
2002	J	`jnl`	Behavior generation for a mobile robot based on the adaptive fitness function. Robotics Auton. Syst. Eiji Uchibe, Masakazu Yanase, Minoru Asada
2001	A*	`conf`	Dynamic Task Assignment in a Multiagent/Multitask Environment based on Module Conflict Resolution. ICRA Eiji Uchibe, Tatsunori Kato, Koh Hosoda, Minoru Asada
2001	C	`conf`	Evolutionary Behavior Selection with Activation/Termination Constraints. RoboCup Eiji Uchibe, Masakazu Yanase, Minoru Asada
2001	J	`jnl`	Multiagent Learning towards RoboCup. New Gener. Comput. Minoru Asada, Eiji Uchibe
2000	C	`conf`	Osaka University "Trackies 2000". RoboCup Yasutake Takahashi, Eiji Uchibe, Takahashi Tamura, Masakazu Yanase, Shoichi Ikenoue, Shujiro Inui, Minoru Asada
1999	J	`jnl`	Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning and Development. Artif. Intell. Minoru Asada, Eiji Uchibe, Koh Hosoda
1999	C	`conf`	Multiple Reward Criterion for Cooperative Behavior Acquisition in a Muliagent Environment. RoboCup Eiji Uchibe, Minoru Asada
1999	C	`conf`	The Team Description of Osaka University "Trackies-99". RoboCup Sho'ji Suzuki, Tatsunori Kato, Hiroshi Ishizuka, Hiroyoshi Kawanishi, Takashi Tamura, Masakazu Yanase, Yasutake Takahashi, Eiji Uchibe, Minoru Asada
1998	C	`conf`	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 Sho'ji Suzuki, Tatsunori Kato, Hiroshi Ishizuka, Yasutake Takahashi, Eiji Uchibe, Minoru Asada
1998	A	`conf`	Co-evolution for cooperative behavior acquisition in a multiple mobile robot environment. IROS Eiji Uchibe, Masateru Nakamura, Minoru Asada
1998	A*	`conf`	Cooperative Behavior Acquisition in Multi Mobile Robots Environment by Reinforcement Learning Based on State Vector Estimation. ICRA Eiji Uchibe, Minoru Asada, Koh Hosoda
1998	C	`conf`	Cooperative Behavior Acquisition in a Multiple Mobile Robot Environment by Co-evolution. RoboCup Eiji Uchibe, Masateru Nakamura, Minoru Asada
1998	A*	`conf`	Environmental Complexity Control for Vision-Based Learning Mobile Robot. ICRA Eiji Uchibe, Minoru Asada, Koh Hosoda
1998	A*	`conf`	State Space Construction for Behavior Acquisition in Multi Agent Environments with Vision and Action. ICCV Eiji Uchibe, Minoru Asada, Koh Hosoda
1998	J	`jnl`	TRACKIES: RoboCup-97 Middle-Size League World Cochampion. AI Mag. Minoru Asada, Sho'ji Suzuki, Yasutake Takahashi, Eiji Uchibe, Masateru Nakamura, Chizuko Mishima, Hiroshi Ishizuka, Tatsunori Kato
1997	—	`conf`	Vision Based State Space Construction for Learning Mobile Robots in Multi-agent Environments. EWLR Eiji Uchibe, Minoru Asada, Koh Hosoda
1997	C	`conf`	Vision-Based Robot Learning Towards RoboCup: Osaka University "Trackies". RoboCup Sho'ji Suzuki, Yasutake Takahashi, Eiji Uchibe, Masateru Nakamura, Chizuko Mishima, Hiroshi Ishizuka, Tatsunori Kato, Minoru Asada
1996	A	`conf`	Behavior coordination for a mobile robot using modular reinforcement learning. IROS Eiji Uchibe, Minoru Asada, Koh Hosoda
1994	A	`conf`	Coordination of multiple behaviors acquired by a vision-based reinforcement learning. IROS Minoru Asada, Eiji Uchibe, Shoichi Noda, Sukoya Tawaratsumida, Koh Hosoda