George R. Aronoff

Reinforcement Learning · 2005–2007

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 10 citations into it

Whom George R. Aronoff trusts overall

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

1. Richard S. Sutton
2. Adam E. Gaweda
3. Andrew Barto
4. Brett L. Moore

Who trusts George R. Aronoff overall

1. Adam E. Gaweda
2. Chao Yu

Papers from George R. Aronoff's perspective

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

1. Reinforcement Learning: An Introduction
2. Learning from delayed rewards
3. Comparison of some control strategies for three-compartment PK/PD models
4. An experimental design for the development of adaptive treatment strategies
5. Intelligent Control of Closed-Loop Sedation in Simulated ICU Patients
6. Planning and Acting in Partially Observable Stochastic Domains
7. Markov Games as a Framework for Multi-Agent Reinforcement Learning
8. Residual Algorithms: Reinforcement Learning with Function Approximation
9. Stable Function Approximation in Dynamic Programming
10. Linear Least-Squares algorithms for temporal difference learning

Their papers

• Individualization of pharmacological anemia management using reinforcement learning (2005) — 70 citations
• Incorporating prior knowledge into Q-learning for drug delivery individualization (2005) — 11 citations
• Using clinical information in goal-oriented learning. (2007) — 9 citations
• Model Predictive Control with Reinforcement Learning for Drug Delivery in Renal Anemia Management (2006) — 28 citations
• Reinforcement learning approach to individualization of chronic pharmacotherapy (2005) — 13 citations