Carolyn L. Chen

Artificial Intelligence · 2017

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 — 9 citations into it
• Reinforcement Learning — 9 citations into it

Whom Carolyn L. Chen trusts overall

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

1. John Schulman

Papers from Carolyn L. Chen's perspective

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

1. Trust Region Policy Optimization (International Conference on Machine Learning)
2. End-to-End Training of Deep Visuomotor Policies
3. Benchmarking Deep Reinforcement Learning for Continuous Control
4. A survey of robot learning from demonstration
5. Using inaccurate models in reinforcement learning
6. Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations
7. Reinforcement learning in robotics: A survey
8. Deep learning for detecting robotic grasps
9. Robot Programming by Demonstration
10. ImageNet classification with deep convolutional neural networks

Their papers

• Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning (2017) — 147 citations