Ali Nouri

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #19,530 of 35,345 by trust here, #14,438 by citations
• Reinforcement Learning — 5 citations into it; #1,328 of 2,242 by trust here, #1,300 by citations

Whom Ali Nouri trusts overall

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

1. Tong Zhang
2. Sham M. Kakade
3. Malcolm J. A. Strens

Who trusts Ali Nouri overall

1. Peter S. Dayan

Papers from Ali Nouri's perspective

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

1. Near-Optimal Reinforcement Learning in Polynomial Time
2. R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
3. ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES
4. Multi-task reinforcement learning: a hierarchical Bayesian approach
5. A Bayesian Framework for Reinforcement Learning
6. From ɛ-entropy to KL-entropy: Analysis of minimum information complexity density estimation
7. On the sample complexity of reinforcement learning.
8. Church: a language for generative models
9. Bayesian sparse sampling for on-line reward optimization
10. An analytic solution to discrete Bayesian reinforcement learning

Their papers

• A Bayesian Sampling Approach to Exploration in Reinforcement Learning (2009) — 192 citations