Hiroshi Tenmoto

2008

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Hiroshi Tenmoto trusts overall

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

1. Richard S. Sutton
2. Christopher J. C. H. Watkins
3. C. Lee Giles
4. Andrew Barto

Who trusts Hiroshi Tenmoto overall

1. Sainbayar Sukhbaatar

Papers from Hiroshi Tenmoto's perspective

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

1. Reinforcement Learning: An Introduction
2. Multi Agent Reinforcement Learning Independent vs Cooperative Agents
3. Q-learning
4. Learning Communication for Multi-agent Systems
5. Learning internal representations by error propagation
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
8. The perceptron: a probabilistic model for information storage and organization in the brain.
9. Gradient-based learning applied to document recognition
10. ImageNet classification with deep convolutional neural networks

Their papers

• Learning of communication codes in multi-agent reinforcement learning problem (2008) — 35 citations