Silvia Cruciani

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it

Whom Silvia Cruciani trusts overall

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

1. John Schulman
2. Sergey Levine
3. Yan Duan
4. Pieter Abbeel
5. Timothy P. Lillicrap

Papers from Silvia Cruciani's perspective

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

1. Trust Region Policy Optimization (International Conference on Machine Learning)
2. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Benchmarking Deep Reinforcement Learning for Continuous Control
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Reinforcement Learning for Pivoting Task (2017) — 73 citations