Xuchan Bao

Reinforcement Learning · 2019

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 — 35 citations into it
• Artificial Intelligence — 30 citations into it

Whom Xuchan Bao trusts overall

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

1. Richard S. Sutton
2. Sergey Levine
3. John Schulman
4. Pieter Abbeel
5. Dirk P. Kroese
6. Geoffrey E. Hinton
7. Nicolas Manfred Otto Heess
8. Diederik P. Kingma
9. Marc Peter Deisenroth
10. Yoshua Bengio

Who trusts Xuchan Bao overall

1. A. Perera
2. Hiroki Furuta
3. Aravind Rajeswaran

Papers from Xuchan Bao's perspective

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

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

Their papers

• Benchmarking Model-Based Reinforcement Learning (2019) — 394 citations