Sujay Bajracharya

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 23 citations into it
• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Sujay Bajracharya trusts overall

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

1. Diederik P. Kingma
2. Sergey Levine
3. Scott Fujimoto
4. Jan Peters
5. Richard S. Sutton
6. Geoffrey E. Hinton
7. Aviral Kumar
8. Yoshua Bengio
9. Pieter Abbeel
10. Alex Krizhevsky

Who trusts Sujay Bajracharya overall

1. Tianhe Yu

Papers from Sujay Bajracharya's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Human-level control through deep reinforcement learning
10. GENERATIVE ADVERSARIAL NETS

Their papers

• PLAS: Latent Action Space for Offline Reinforcement Learning (2020) — 194 citations