Masayuki Yamamura

Reinforcement Learning · 2003

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it

Whom Masayuki Yamamura trusts overall

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

1. Satinder Singh
2. Richard S. Sutton
3. Jing Peng
4. Andrew Barto
5. Ronald J. Williams

Papers from Masayuki Yamamura's perspective

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

1. Reinforcement Learning: An Introduction
2. Efficient Learning and Planning Within the Dyna Framework
3. Reinforcement Learning: A Survey
4. Transfer of learning by composing solutions of elemental sequential tasks
5. Learning internal representations by error propagation
6. Gradient-based learning applied to document recognition
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. ImageNet classification with deep convolutional neural networks
9. Parallel and distributed computation
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Multitask reinforcement learning on the distribution of MDPs (2003) — 76 citations