Yinzhao Dong

Reinforcement Learning · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 15 citations into it
• Artificial Intelligence — 13 citations into it; #21,070 of 35,345 by trust here, #31,361 by citations
• Medical & Health AI — 11 citations into it
• Epidemiology — 8 citations into it

Whom Yinzhao Dong trusts overall

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

1. Sonali Parbhoo
2. Christopher A. Merck
3. Chao Yu
4. Richard S. Sutton
5. Damien Ernst

Who trusts Yinzhao Dong overall

1. Chao Yu
2. Jiming Liu

Papers from Yinzhao Dong's perspective

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

1. Reinforcement Learning: An Introduction
2. Clinical data based optimal STI strategies for HIV: a reinforcement learning approach
3. Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach
4. PAC Optimal Exploration in Continuous Space Markov Decision Processes
5. Bounded Optimal Exploration in MDP
6. Combining Kernel and Model Based Learning for HIV Therapy Selection
7. Deep Inverse Reinforcement Learning for Sepsis Treatment
8. Causal Explanation Under Indeterminism: A Sampling Approach
9. A Reinforcement Learning Design for HIV Clinical Trials
10. Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes

Their papers

• Supervised-actor-critic reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units (2020) — 40 citations
• Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV (2019) — 34 citations