E. V. Poorten

Reinforcement Learning · 2016

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 — 6 citations into it

Whom E. V. Poorten trusts

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

1. Andrew Y. Ng (in Reinforcement Learning)

Papers from E. V. Poorten's perspective

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

1. Long Short-Term Memory
2. Pattern Recognition and Machine Learning
3. Algorithms for Inverse Reinforcement Learning
4. Apprenticeship learning via inverse reinforcement learning
5. A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks
6. Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations
7. Motion generation of robotic surgical tasks: Learning from expert demonstrations
8. Medical Image Computing and Computer-Assisted Intervention
9. Machine learning techniques to examine large patient databases.
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions (2016) — 215 citations