Eiji Uchibe

Reinforcement Learning · 1998–2022

A researcher in the Science corpus: 7 papers; trusts 51 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 66 citations into it; #550 of 2,242 by trust here, #843 by citations
• Artificial Intelligence — 39 citations into it; #4,429 of 35,345 by trust here, #7,858 by citations
• Cognitive Neuroscience — 12 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Optimization & Training — 6 citations into it
• Control and Systems Engineering — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Eiji Uchibe trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Richard S. Sutton
2. Andrew Barto
3. Kenji Doya
4. Vijay R. Konda
5. Satinder Singh
6. Hado van Hasselt
7. John N. Tsitsiklis
8. Jonathan Baxter
9. G. Tesauro
10. Thomas G. Dietterich

Who trusts Eiji Uchibe overall

1. Joshua Achiam
2. Diederik Marijn Roijers
3. Quoc V. Le
4. Stefan Elfwing
5. Andrea Soltoggio
6. Saining Xie
7. Mingxing Tan
8. Sachin Mehta
9. Hanxiao Liu
10. J. Krichmar

Papers from Eiji Uchibe's perspective

Ordered by how strongly the researchers Eiji Uchibe trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Reinforcement Learning: An Introduction
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet: A large-scale hierarchical image database

Their papers

• Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning (2017) — 2,602 citations
• Constrained reinforcement learning from intrinsic and extrinsic rewards (2007) — 61 citations
• Free-Energy Based Reinforcement Learning for Vision-Based Navigation with High-Dimensional Sensory Inputs (2010) — 10 citations
• Online meta-learning by parallel algorithm competition (2017) — 25 citations
• The Cyber Rodent Project: Exploration of Adaptive Mechanisms for Self-Preservation and Self-Reproduction (2005) — 64 citations
• Deep learning, reinforcement learning, and world models (2022) — 503 citations
• Cooperative behavior acquisition in multi-mobile robots environment by reinforcement learning based on state vector estimation (1998)