Ishai Menache

Reinforcement Learning · 2002–2016

A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 41 citations into it; #1,045 of 2,242 by trust here, #1,443 by citations
• Artificial Intelligence — 14 citations into it; #3,812 of 35,345 by trust here, #5,788 by citations
• Computer Networks and Communications — 11 citations into it; #6,300 of 9,886 by trust here, #3,318 by citations
• Optimization & Training — 5 citations into it

Whom Ishai Menache trusts overall

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

1. Richard S. Sutton
2. Reuven Y. Rubinstein
3. Andrew Barto
4. Longxin Lin
5. Satinder Singh
6. Justin A. Boyan
7. Ian H. Witten
8. John N. Tsitsiklis
9. Dirk P. Kroese
10. Leslie Pack Kaelbling

Who trusts Ishai Menache overall

1. J. Urgen Schmidhuber
2. Özgür Simsek
3. Shie Mannor
4. Csaba Szepesvari
5. Andrew Barto
6. Dimitri P. Bertsekas
7. Marlos C. Machado
8. Sean P. Meyn
9. Michael L. Littman
10. Sridhar Mahadevan

Papers from Ishai Menache's perspective

Ordered by how strongly the researchers Ishai Menache 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. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning (2002) — 306 citations
• Dynamic abstraction in reinforcement learning via clustering (2004) — 262 citations
• Basis Function Adaptation in Temporal Difference Reinforcement Learning (2005) — 208 citations
• Resource Management with Deep Reinforcement Learning (2016) — 1,326 citations