Michael E. Brier

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 Michael E. Brier trusts overall

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

1. Richard S. Sutton
2. Adam E. Gaweda

Who trusts Michael E. Brier overall

1. Adam E. Gaweda
2. Chao Yu

Papers from Michael E. Brier's perspective

Ordered by how strongly the researchers Michael E. Brier 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. Intelligent Control of Closed-Loop Sedation in Simulated ICU Patients
5. An experimental design for the development of adaptive treatment strategies
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. Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons
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