Brandon Houghton
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it
- Reinforcement Learning — 75 citations into it
- Robotics & Control — 6 citations into it
Whom Brandon Houghton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Volodymyr Mnih
- OpenAI
- Marc G. Bellemare
- Sergey Levine
- Alex Krizhevsky
- Geoffrey E. Hinton
- Richard S. Sutton
- Diederik P. Kingma
- Jia Deng
- David Silver
Who trusts Brandon Houghton overall
Papers from Brandon Houghton's perspective
Ordered by how strongly the researchers Brandon Houghton trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Et al
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Asynchronous Methods for Deep Reinforcement Learning
- Human-level control through deep reinforcement learning
Their papers
- Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos (2022) — 437 citations
- The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors (2021) — 73 citations
- MineRL: A Large-Scale Dataset of Minecraft Demonstrations (2019) — 305 citations
- GPT-4 Technical Report (2023) — 26,133 citations