Hamid Benbrahim

Reinforcement Learning · 1992–1997

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it; #639 of 2,242 by trust here, #1,319 by citations

Whom Hamid Benbrahim trusts overall

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

1. Richard S. Sutton
2. Vijaykumar Gullapalli
3. Andrew Barto
4. Bernard Widrow
5. David E. Rumelhart

Who trusts Hamid Benbrahim overall

1. Jan Peters
2. Stefan Schaal
3. Andrew Barto
4. Jens Kober
5. Michael T. Rosenstein
6. Joel Lehman
7. Sergey Levine
8. Ivo Grondman
9. J. Bagnell
10. Lei Tai

Papers from Hamid Benbrahim's perspective

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

1. Learning from delayed rewards
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. A stochastic reinforcement learning algorithm for learning real-valued functions
5. Adaptive switching circuits
6. ImageNet classification with deep convolutional neural networks
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Learning internal representations by error propagation
9. ImageNet Large Scale Visual Recognition Challenge
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Biped dynamic walking using reinforcement learning (1997)
• Acquiring robot skills via reinforcement learning (1994)
• Real-time learning: a ball on a beam (1992)