T. Kasai

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 T. Kasai 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
5. Peter S. Dayan
6. Kam-Chuen Jim
7. Ming Tan

Who trusts T. Kasai overall

1. Sainbayar Sukhbaatar
2. Jakob N. Foerster
3. Arthur Szlam
4. Afshin Oroojlooyjadid
5. Sven Gronauer

Papers from T. Kasai's perspective

Ordered by how strongly the researchers T. Kasai 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. ImageNet classification with deep convolutional neural networks
8. Gradient-based learning applied to document recognition
9. Learning internal representations by error propagation
10. The perceptron: a probabilistic model for information storage and organization in the brain.

Their papers

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