Wasiur R. KhudaBukhsh

Reinforcement Learning · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 13 citations into it; #1,643 of 2,242 by trust here, #2,092 by citations
• Artificial Intelligence — 5 citations into it

Whom Wasiur R. KhudaBukhsh trusts overall

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

1. Andrew Y. Ng
2. Pieter Abbeel
3. Richard S. Sutton
4. Michail G. Lagoudakis
5. Christopher J. C. H. Watkins
6. Deepak Ramachandran
7. Gergely Neu
8. Brian D. Ziebart
9. Geoffrey E. Hinton
10. Peter S. Dayan

Who trusts Wasiur R. KhudaBukhsh overall

1. Maximilian Hüttenrauch
2. Adrian Šošić

Papers from Wasiur R. KhudaBukhsh's perspective

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

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

Their papers

• Inverse Reinforcement Learning in Swarm Systems (2016) — 82 citations