Augustus Hong

Reinforcement Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it; #1,911 of 2,242 by trust here, #2,201 by citations

Whom Augustus Hong trusts overall

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

1. Doina Precup

Who trusts Augustus Hong overall

1. Le Thanh Tan

Papers from Augustus Hong's perspective

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

1. Gradient-based learning applied to document recognition
2. Caffe: Convolutional Architecture for Fast Feature Embedding
3. ImageNet classification with deep convolutional neural networks
4. What is the best multi-stage architecture for object recognition?
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. An Analysis of Single-Layer Networks in Unsupervised Feature Learning
7. Temporal Difference Learning and TD-Gammon
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Distributed Deep Q-Learning (2015) — 74 citations