Guoqi Ren
Reinforcement Learning · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 20 citations into it
- Artificial Intelligence — 14 citations into it; #15,076 of 35,345 by trust here, #25,809 by citations
- Medical & Health AI — 13 citations into it
- Epidemiology — 11 citations into it; #714 of 2,148 by trust here, #1,905 by citations
Whom Guoqi Ren trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chao Yu
- Richard S. Sutton
- Jiming Liu
- Andrew Y. Ng
- Aniruddh Raghu
- Sonali Parbhoo
- Shamim Nemati
- Andrew Barto
- Marzyeh Ghassemi
- Alistair E. W. Johnson
Who trusts Guoqi Ren overall
Papers from Guoqi Ren's perspective
Ordered by how strongly the researchers Guoqi Ren trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Policy Gradient Methods for Reinforcement Learning with Function Approximation
- Algorithms for Inverse Reinforcement Learning
- Clinical data based optimal STI strategies for HIV: a reinforcement learning approach
- ImageNet classification with deep convolutional neural networks
- Human-level control through deep reinforcement learning
- Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
Their papers
- Deep Inverse Reinforcement Learning for Sepsis Treatment (2019) — 49 citations
- 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