Todd M. Quasny

2004–2011

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Whom Todd M. Quasny trusts overall

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

1. Brett L. Moore

Who trusts Todd M. Quasny overall

1. Brett L. Moore
2. Chao Yu
3. Eddy C. Borera
4. Jiming Liu
5. Larry D. Pyeatt
6. Adam E. Gaweda

Papers from Todd M. Quasny's perspective

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

1. Reinforcement Learning: A Novel Method for Optimal Control of Propofol-Induced Hypnosis
2. Multidimensional Triangulation and Interpolation for Reinforcement Learning
3. Reinforcement Learning: An Introduction
4. Markov Games as a Framework for Multi-Agent Reinforcement Learning
5. Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons
6. Generalization in Reinforcement Learning: Safely Approximating the Value Function
7. Planning and Acting in Partially Observable Stochastic Domains
8. An Introduction to Reinforcement Learning
9. Average reward reinforcement learning: Foundations, algorithms, and empirical results
10. Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding

Their papers

• Reinforcement Learning Versus Proportional–Integral–Derivative Control of Hypnosis in a Simulated Intraoperative Patient (2011) — 30 citations
• Intelligent Control of Closed-Loop Sedation in Simulated ICU Patients (2004) — 20 citations