Trevor Blackwell

Reinforcement Learning · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it; #2,181 of 2,242 by trust here, #1,371 by citations
• Artificial Intelligence — 12 citations into it; #34,341 of 35,345 by trust here, #15,542 by citations

Whom Trevor Blackwell trusts

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

1. Sergey Levine (in Reinforcement Learning)
2. Pieter Abbeel (in Reinforcement Learning)

Who trusts Trevor Blackwell

1. Ignasi Clavera Gilaberte (in Reinforcement Learning)

Papers from Trevor Blackwell's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Trust Region Policy Optimization (International Conference on Machine Learning)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. MuJoCo: A physics engine for model-based control
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model (2016) — 270 citations