Chelsea Sidrane

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Reinforcement Learning — 8 citations into it

Whom Chelsea Sidrane trusts overall

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

1. Stéphane Ross
2. Jens Kober
3. Craig Boutilier
4. Sonia Chernova

Who trusts Chelsea Sidrane overall

1. Trevor Ablett
2. Maryam Zare

Papers from Chelsea Sidrane's perspective

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

1. ALVINN, an autonomous land vehicle in a neural network
2. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
3. Reinforcement Learning: An Introduction
4. Neural Processes
5. Efficient Reductions for Imitation Learning
6. Interactive Policy Learning through Confidence-Based Autonomy
7. Accelerating Reinforcement Learning through Implicit Imitation
8. Imitation and Reinforcement Learning
9. ImageNet classification with deep convolutional neural networks
10. Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations

Their papers

• HG-DAgger: Interactive Imitation Learning with Human Experts (2018) — 372 citations