Vinicius G. Goecks

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 24 citations into it
• Artificial Intelligence — 20 citations into it

Whom Vinicius G. Goecks trusts overall

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

1. Richard S. Sutton
2. Sham M. Kakade
3. Diederik P. Kingma
4. Andrew Barto
5. Aude Gemma Billard
6. Geoffrey E. Hinton
7. Jimmy Ba
8. Tuomas Haarnoja
9. Todd Hester
10. Matej Vecerík

Who trusts Vinicius G. Goecks overall

1. Scott Fujimoto
2. Trevor Ablett
3. Shixiang Shane Gu
4. Filip Mari'c

Papers from Vinicius G. Goecks's perspective

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

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

Their papers

• Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments (2019) — 34 citations