Adam Christopher Earle

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 16 citations into it
• Artificial Intelligence — 13 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Adam Christopher Earle trusts overall

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

1. E. Todorov
2. Richard S. Sutton
3. Peter S. Dayan
4. Yoshua Bengio
5. Thomas G. Dietterich
6. Geoffrey E. Hinton
7. Andrew Barto
8. Ronald E. Parr
9. Ryuichi Oka
10. Paul Ruvolo

Who trusts Adam Christopher Earle overall

1. Tuomas Haarnoja

Papers from Adam Christopher Earle's perspective

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

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

Their papers

• Hierarchy Through Composition with Multitask LMDPs (2017) — 38 citations