Omar Darwiche Domingues

Artificial Intelligence · 2020

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Reinforcement Learning — 28 citations into it
• Management Science and Operations Research — 26 citations into it
• Statistical Learning Theory — 8 citations into it
• Electrical and Electronic Engineering — 7 citations into it

Whom Omar Darwiche Domingues trusts overall

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

1. Tor Lattimore
2. Mohammad Gheshlaghi Azar
3. Christoph Dann
4. Thomas Jaksch
5. Martin L. Puterman
6. Ian Osband
7. Emma Brunskill
8. Andrew Barto
9. Guanghua Hu
10. Csaba Szepesvari

Who trusts Omar Darwiche Domingues overall

1. Weichao Mao
2. Aldo Pacchiano

Papers from Omar Darwiche Domingues's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Markov Decision Processes: Discrete Stochastic Dynamic Programming
8. Human-level control through deep reinforcement learning
9. Asynchronous Methods for Deep Reinforcement Learning
10. Long Short-Term Memory

Their papers

• A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces (2020) — 45 citations
• Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited (2020) — 118 citations
• Regret Bounds for Kernel-Based Reinforcement Learning (2020) — 22 citations