Johannes Heinrich
Artificial Intelligence · 2014–2016
A researcher in the Science corpus: 4 papers; trusts 61 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it; #8,853 of 35,345 by trust here, #14,438 by citations
- Reinforcement Learning — 61 citations into it; #476 of 2,242 by trust here, #1,055 by citations
- Management Science and Operations Research — 43 citations into it
- Game & Decision Theory — 36 citations into it; #41 of 249 by trust here, #75 by citations
- Economics and Econometrics — 32 citations into it
- Sociology and Political Science — 13 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
- Safety Research — 6 citations into it
Whom Johannes Heinrich trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Silver
- Michael H. Bowling
- Michael Bradley Johanson
- Levente Kocsis
- Martin A. Zinkevich
- Richard S. Sutton
- Neil Burch
- G. Tesauro
- Tuomas Sandholm
- Marc Lanctot
Who trusts Johannes Heinrich overall
- Kaiqing Zhang
- Marc Lanctot
- David Silver
- Julien Pérolat
- Zhuoran Yang
- Shayegan Omidshafiei
- Edward Lockhart
- Pablo Hernandez-Leal
- Nitin Kamra
- Noam Brown
Papers from Johannes Heinrich's perspective
Ordered by how strongly the researchers Johannes Heinrich trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Reinforcement Learning: An Introduction
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Human-level control through deep reinforcement learning
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (2016) — 468 citations
- Fictitious Self-Play in Extensive-Form Games (2015) — 346 citations
- Smooth UCT Search in Computer Poker (2015) — 29 citations
- Self-play Monte-Carlo tree search in computer poker (2014) — 15 citations