Eiji Uchibe

4.2k total citations · 2 hit papers
72 papers, 2.2k citations indexed

About

Eiji Uchibe is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Eiji Uchibe has authored 72 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Artificial Intelligence, 22 papers in Computational Theory and Mathematics and 12 papers in Control and Systems Engineering. Recurrent topics in Eiji Uchibe's work include Reinforcement Learning in Robotics (60 papers), Evolutionary Algorithms and Applications (26 papers) and Adaptive Dynamic Programming Control (20 papers). Eiji Uchibe is often cited by papers focused on Reinforcement Learning in Robotics (60 papers), Evolutionary Algorithms and Applications (26 papers) and Adaptive Dynamic Programming Control (20 papers). Eiji Uchibe collaborates with scholars based in Japan, Sweden and United States. Eiji Uchibe's co-authors include Kenji Doya, Stefan Elfwing, Minoru Asada, Koh Hosoda, Jun Morimoto, David Silver, Yutaka Matsuo, Yann LeCun, Doina Precup and Maneesh Sahani and has published in prestigious journals such as Proceedings of the IEEE, Expert Systems with Applications and Artificial Intelligence.

In The Last Decade

Eiji Uchibe

68 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sigmoid-weighted linear units for neural network function approximation in reinforcement learning

2018 1.1k citations Stefan Elfwing, Eiji Uchibe et al. Neural Networks profile →
Deep learning, reinforcement learning, and world models

2022 264 citations Yutaka Matsuo, Yann LeCun et al. Neural Networks profile →

Peers

Countries citing papers authored by Eiji Uchibe

Since Specialization

Citations

This map shows the geographic impact of Eiji Uchibe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eiji Uchibe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji Uchibe more than expected).

Fields of papers citing papers by Eiji Uchibe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eiji Uchibe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eiji Uchibe. The network helps show where Eiji Uchibe may publish in the future.

Co-authorship network of co-authors of Eiji Uchibe

This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Uchibe. A scholar is included among the top collaborators of Eiji Uchibe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eiji Uchibe. Eiji Uchibe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Inverse reinforcement learning methods for linear differential games 2024 ·Systems & Control Letters ·Hamed Jabbari Asl, Eiji Uchibe	2
2	Online estimation of objective function for continuous-time deterministic systems 2024 ·Neural Networks ·Hamed Jabbari Asl, Eiji Uchibe	4
3	Online Reinforcement Learning Control of Nonlinear Dynamic Systems: A State-action Value Function Based Solution 2023 ·Neurocomputing ·Hamed Jabbari Asl, Eiji Uchibe	4
4	Deep learning, reinforcement learning, and world models breakdown → 2022 ·Neural Networks ·Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup, David Silver, Masashi Sugiyama, Eiji Uchibe, Jun Morimoto	264
5	Parallel and hierarchical neural mechanisms for adaptive and predictive behavioral control 2021 ·Neural Networks ·Tom Macpherson, Masayuki Matsumoto, Hiroaki Gomi, Jun Morimoto, Eiji Uchibe, Takatoshi Hikida	14
6	Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning 2019 ·International Conference on Artificial Intelligence and Statistics ·(unknown), Eiji Uchibe, Kenji Doya	8
7	Cooperative and Competitive Reinforcement and Imitation Learning for a Mixture of Heterogeneous Learning Modules 2018 ·Frontiers in Neurorobotics ·Eiji Uchibe	5
8	Sigmoid-weighted linear units for neural network function approximation in reinforcement learning breakdown → 2018 ·Neural Networks ·Stefan Elfwing, Eiji Uchibe, Kenji Doya	1064
9	Adaptive Baseline Enhances EM-Based Policy Search: Validation in a View-Based Positioning Task of a Smartphone Balancer 2017 ·Frontiers in Neurorobotics ·(unknown), Eiji Uchibe, Kenji Doya	29
10	Emergence of communication among reinforcement learning agents under coordination environment 2016 ·(unknown), Eiji Uchibe, Kenji Doya	3
11	From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning 2016 ·Neural Networks ·Stefan Elfwing, Eiji Uchibe, Kenji Doya	10
12	Expected energy-based restricted Boltzmann machine for classification 2014 ·Neural Networks ·Stefan Elfwing, Eiji Uchibe, Kenji Doya	25
13	Evaluation of linearly solvable Markov decision process with dynamic model learning in a mobile robot navigation task 2013 ·Frontiers in Neurorobotics ·(unknown), Eiji Uchibe, Kenji Doya	15
14	Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces 2013 ·Frontiers in Neurorobotics ·Stefan Elfwing, Eiji Uchibe, Kenji Doya	9
15	A Generalized Natural Actor-Critic Algorithm 2009 ·Neural Information Processing Systems ·(unknown), Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya	10
16	Finding intrinsic rewards by embodied evolution and constrained reinforcement learning 2008 ·Neural Networks ·Eiji Uchibe, Kenji Doya	12
17	Policy gradient reinforcement learning with log stationary distribution gradients 2007 ·NAIST Digital Library (Nara Institute of Science and Technology) ·(unknown), Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya	1
18	Reinforcement learning under constraints generated by multiple reward functions 2006 ·Eiji Uchibe, Kenji Doya	1
19	Evolution for behavior selection accelerated by activation/termination constraints 2001 ·Genetic and Evolutionary Computation Conference ·Eiji Uchibe, (unknown), Minoru Asada	3
20	Cooperative and competitive behavior acquisition for mobile robots through co-evolution 1999 ·Genetic and Evolutionary Computation Conference ·Eiji Uchibe, (unknown), Minoru Asada	4

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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