Cong Bui

Reinforcement Learning · 2019

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 — 13 citations into it

Whom Cong Bui trusts overall

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

1. Richard S. Sutton
2. Alex Krizhevsky

Papers from Cong Bui's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
3. Proximal Policy Optimization Algorithms (arXiv.org)
4. Deep Learning
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Progressive Neural Networks
7. Gradient-based learning applied to document recognition
8. Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
9. Policy Distillation
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Sharing Experience in Multitask Reinforcement Learning (2019) — 22 citations