Sanket Kamthe

Reinforcement Learning · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 19 citations into it; #940 of 2,242 by trust here, #1,750 by citations
• Artificial Intelligence — 12 citations into it
• Control and Systems Engineering — 9 citations into it; #2,109 of 8,257 by trust here, #3,682 by citations
• Probabilistic & Bayesian Methods — 5 citations into it; #817 of 1,525 by trust here, #1,176 by citations

Whom Sanket Kamthe trusts overall

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

1. E. Todorov
2. Marc Peter Deisenroth
3. Carl E. Rasmussen
4. Iain Murray
5. Marc Toussaint
6. Joaquin Quiñonero Candela
7. Jorge Nocedal
8. Ryuichi Oka
9. Yunpeng Pan
10. Mark Cutler

Who trusts Sanket Kamthe overall

1. Lukas Hewing
2. Steindór Sæmundsson
3. Kurtland Chua
4. Archit Sharma
5. Lukas Brunke
6. Tingwu Wang
7. Sergey Levine
8. Katja Hofmann
9. Ignasi Clavera
10. Roberto Calandra

Papers from Sanket Kamthe's perspective

Ordered by how strongly the researchers Sanket Kamthe 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Reinforcement Learning: An Introduction
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Interaction primitives for human-robot cooperation tasks (2014) — 233 citations
• Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control (2017) — 231 citations