J. Le

Artificial Intelligence · 2021

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

• Artificial Intelligence — 25 citations into it
• Safety, Robustness & Interpretability — 14 citations into it

Whom J. Le trusts overall

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

1. Joseph B. Kruskal

Papers from J. Le's perspective

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

1. Reinforcement Learning: An Introduction
2. Intriguing properties of neural networks
3. Explaining and Harnessing Adversarial Examples
4. Proximal Policy Optimization Algorithms (arXiv.org)
5. Unbiased look at dataset bias
6. PyTorch: An Imperative Style, High-Performance Deep Learning Library
7. Algorithms for Inverse Reinforcement Learning
8. Concrete Problems in AI Safety
9. Dataset Shift in Machine Learning
10. Learning dexterous in-hand manipulation

Their papers

• Objective Robustness in Deep Reinforcement Learning (2021) — 16 citations