Shigenobu Kobayashi
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms 40
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research 46
- Evolutionary Algorithms and Applications 37
- Reinforcement Learning in Robotics 20
- Neural Networks and Applications 6
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- Scheduling and Optimization Algorithms 4
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- Dyeing and Modifying Textile Fibers 6
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- Textile materials and evaluations 4
Shigenobu Kobayashi
105 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 128
- Computational Theory and Mathematics 680
- Artificial Intelligence 1.1k
- Industrial and Manufacturing Engineering 279
- Control and Systems Engineering 249
- Computer Vision and Pattern Recognition 204
Countries citing papers authored by Shigenobu Kobayashi
This map shows the geographic impact of Shigenobu Kobayashi'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 Shigenobu Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigenobu Kobayashi more than expected).
Fields of papers citing papers by Shigenobu Kobayashi
This network shows the impact of papers produced by Shigenobu Kobayashi. 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 Shigenobu Kobayashi. The network helps show where Shigenobu Kobayashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shigenobu Kobayashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks | 2010 | 9 |
| 2 | 2006 | 1 | |
| 3 | 2004 | 1 | |
| 4 | 2003 | 1 | |
| 5 | Average-Reward Reinforcement Learning for Variance Penalized Markov Decision Problems | 2001 | 9 |
| 6 | A real-coded Genetic Algorithm using distance dependent alternation model for complex function optimization | 2000 | 10 |
| 7 | Controlling Multiple Cranes Using Multi-Agent Reinforcement Learning: Emerging Coordination among Competitive Agents | 2000 | 1 |
| 8 | An Analysis of Actor-Critic Algorithms Using Eligibility Traces : Reinforcement Learning with Imperfect Value Functions | 2000 | 25 |
| 9 | 2000 | 12 | |
| 10 | Efficient Non-Linear Control by Combining Q-learning with Local Linear Controllers | 1999 | 17 |
| 11 | A robust real-coded genetic algorithm using Unimodal Normal Distribution Crossover augmented by Uniform Crossover: effects of self-adaptation of crossover probabilities | 1999 | 48 |
| 12 | Reinforcement Learning for Crawling Robot Motion Using Stochastic Gradient Ascent | 1999 | 0 |
| 13 | A Real-Coded Genetic Algorithm for Function Optimization Using the Unimodal Normal Distribution Crossover | 1999 | 139 |
| 14 | An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function | 1998 | 69 |
| 15 | Reinforcement Learning for Crawling on a Robot Arm | 1997 | 1 |
| 16 | Reinforcement Learning in POMDPs with Function Approximation | 1997 | 45 |
| 17 | l-Certainty Exploration Method: An Action Selector to Identify the Environment by an Agent : An Extension of k-Certainty Exploration Method to Stochastic MDPs | 1996 | 1 |
| 18 | An Efficient Genetic Algorithm for Job Shop Scheduling Problems | 1995 | 89 |
| 19 | Proceedings of the 4th International Workshop on Algorithmic Learning Theory | 1993 | 5 |
| 20 | Image Identity as seen in two-and three-color combinations : Verification Using Image Simulation | 1989 | 1 |
About Shigenobu Kobayashi
Shigenobu Kobayashi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 115 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (46 papers), Advanced Multi-Objective Optimization Algorithms (40 papers), Evolutionary Algorithms and Applications (37 papers), Reinforcement Learning in Robotics (20 papers), Dyeing and Modifying Textile Fibers (6 papers), Neural Networks and Applications (6 papers), Scheduling and Optimization Algorithms (4 papers) and Textile materials and evaluations (4 papers). The work is most often cited by research in Computational Theory and Mathematics (680 citations), Artificial Intelligence (1.1k citations) and Industrial and Manufacturing Engineering (279 citations). Shigenobu Kobayashi has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Isao Ono, Jun Sakuma, Yuichi Nagata, Hajime Kimura, Kazuteru Miyazaki, Hiroshi Satoh, Ken Harada, M. Yamamura, Hajime Kita and Youhei Akimoto.
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.