Cody Wild

Reinforcement Learning · 2019

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

Subfields

• Reinforcement Learning — 13 citations into it

Whom Cody Wild trusts overall

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

1. Michael L. Littman

Papers from Cody Wild's perspective

Ordered by how strongly the researchers Cody Wild 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. Intriguing properties of neural networks
4. Proximal Policy Optimization Algorithms (arXiv.org)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Visualizing Data using t-SNE
10. ImageNet: A large-scale hierarchical image database

Their papers

• Adversarial Policies: Attacking Deep Reinforcement Learning (2019) — 437 citations