Muhammad Zaheer

Reinforcement Learning · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 32 citations into it
• Artificial Intelligence — 27 citations into it

Whom Muhammad Zaheer trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Longxin Lin
4. Andrew W. Moore
5. Huizhen Yu
6. Yoshua Bengio
7. Geoffrey E. Hinton
8. Erik Talvitie
9. Marc Peter Deisenroth
10. Ronald J. Williams

Who trusts Muhammad Zaheer overall

1. Rishabh Agarwal

Papers from Muhammad Zaheer's perspective

Ordered by how strongly the researchers Muhammad Zaheer 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. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains (2018) — 49 citations
• Planning with Expectation Models (2019) — 26 citations