Brijen Thananjeyan

Reinforcement Learning · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 66 citations into it
• Artificial Intelligence — 60 citations into it
• Control and Systems Engineering — 55 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it
• Biomedical Engineering — 25 citations into it
• Robotics & Control — 14 citations into it

Whom Brijen Thananjeyan trusts overall

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

1. Pieter Abbeel
2. Sergey Levine
3. John Schulman
4. Geoffrey E. Hinton
5. Richard S. Sutton
6. Diederik P. Kingma
7. Andrew Y. Ng
8. Yoshua Bengio
9. Alex Krizhevsky
10. Kaiming He

Who trusts Brijen Thananjeyan overall

1. Jing Zhang
2. Chao Yu
3. Thanh Thi Nguyen
4. Dacheng Tao
5. Jiming Liu
6. Minho Hwang

Papers from Brijen Thananjeyan's perspective

Ordered by how strongly the researchers Brijen Thananjeyan 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data (2020) — 145 citations
• SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards (2018) — 77 citations
• Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones (2020) — 307 citations
• Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning (2017) — 147 citations
• Deep Imitation Learning of Sequential Fabric Smoothing Policies (2019) — 30 citations