Glenn Powell
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 136 citations into it; #26,056 of 35,345 by trust here, #2,646 by citations
- Reinforcement Learning — 119 citations into it; #1,944 of 2,242 by trust here, #258 by citations
- Control and Systems Engineering — 85 citations into it
- Computer Vision and Pattern Recognition — 43 citations into it
- Robotics & Control — 32 citations into it; #549 of 609 by trust here, #53 by citations
- Computational Theory and Mathematics — 18 citations into it
- Optimization & Training — 17 citations into it
- Mechanical Engineering — 14 citations into it
Whom Glenn Powell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Geoffrey E. Hinton
- J. Urgen Schmidhuber
- Diederik P. Kingma
- John Schulman
- Andrew Barto
- E. Todorov
- Jimmy Ba
- Sepp Hochreiter
- Yoshua Bengio
Who trusts Glenn Powell overall
Papers from Glenn Powell's perspective
Ordered by how strongly the researchers Glenn Powell trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Et al
- Human-level control through deep reinforcement learning
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Learning dexterous in-hand manipulation (2018) — 2,231 citations
- Solving Rubik's Cube with a Robot Hand (2019) — 1,497 citations
- Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research (2018) — 642 citations
- Emergent Tool Use From Multi-Agent Autocurricula (2019) — 768 citations