Imran Ahmed

Epidemiology · with Celi · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Epidemiology — 7 citations into it
• Reinforcement Learning — 7 citations into it; #2,004 of 2,242 by trust here, #1,864 by citations
• Artificial Intelligence — 6 citations into it

Whom Imran Ahmed trusts overall

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

1. Mohit Sewak
2. P. Marik
3. Nan Jiang

Who trusts Imran Ahmed overall

1. Chao Yu
2. Chaochao Lu

Papers from Imran Ahmed's perspective

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

1. Human-level control through deep reinforcement learning
2. Deep Reinforcement Learning with Double Q-Learning
3. Dueling Network Architectures for Deep Reinforcement Learning
4. Prioritized Experience Replay
5. Introduction to Reinforcement Learning
6. MIMIC-III, a freely accessible critical care database
7. Doubly Robust Off-policy Evaluation for Reinforcement Learning
8. Sepsis: a roadmap for future research.
9. The demise of early goal‐directed therapy for severe sepsis and septic shock
10. Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016

Their papers

• Deep Reinforcement Learning for Sepsis Treatment (2017) — 200 citations