Rituraj Kaushik

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #34,903 of 35,345 by trust here, #31,361 by citations
• Reinforcement Learning — 16 citations into it

Whom Rituraj Kaushik trusts overall

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

1. Marc Peter Deisenroth
2. Ronald J. Williams
3. Nikolaus Hansen
4. Jan Peters
5. Sergey Levine

Who trusts Rituraj Kaushik overall

1. Jean-Baptiste Mouret

Papers from Rituraj Kaushik's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Human-level control through deep reinforcement learning
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Black-box data-efficient policy search for robotics (2017) — 115 citations