Sherief Abdallah

Reinforcement Learning · 2008–2017

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Sherief Abdallah trusts overall

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

  1. Michael H. Bowling
  2. Martin A. Zinkevich
  3. Richard S. Sutton
  4. Caroline Claus
  5. Junling Hu
  6. Tuomas Sandholm
  7. Satinder Singh
  8. Xiaofeng Wang
  9. Vincent Conitzer
  10. Karl Tuyls

Who trusts Sherief Abdallah overall

  1. Karl Tuyls
  2. Chongjie Zhang
  3. Pablo Hernandez-Leal
  4. Daan Bloembergen
  5. Sriram Srinivasan
  6. Victor R. Lesser
  7. Michael Kaisers
  8. Gerhard Weiss
  9. Marc Lanctot
  10. Ermo Wei

Papers from Sherief Abdallah's perspective

Ordered by how strongly the researchers Sherief Abdallah 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. Human-level control through deep reinforcement learning
  4. Gradient-based learning applied to document recognition
  5. The Theory of Learning in Games
  6. Markov Games as a Framework for Multi-Agent Reinforcement Learning
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Online Convex Programming and Generalized Infinitesimal Gradient Ascent
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Reinforcement Learning: A Survey

Their papers