Kanaad Parvate

Control and Systems Engineering · 2017

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 44 citations into it
• Reinforcement Learning — 35 citations into it
• Artificial Intelligence — 34 citations into it
• Automotive Engineering — 26 citations into it
• Transportation — 26 citations into it
• Building and Construction — 16 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Game & Decision Theory — 5 citations into it

Whom Kanaad Parvate trusts overall

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

1. Richard S. Sutton
2. John Schulman
3. Martin Treiber
4. Richard Bellman
5. Nicholas G. Polson
6. Pieter Abbeel
7. Yisheng Lv
8. Sergey Levine
9. Yan Duan
10. Geoffrey E. Hinton

Papers from Kanaad Parvate's perspective

Ordered by how strongly the researchers Kanaad Parvate 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Reinforcement Learning: An Introduction
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Trust Region Policy Optimization (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control (2017) — 223 citations
• Flow: A Modular Learning Framework for Mixed Autonomy Traffic (2017) — 230 citations