Adam E. Gaweda

Reinforcement Learning · 2005–2011

A researcher in the Science corpus: 7 papers; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 17 citations into it

Whom Adam E. Gaweda trusts overall

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

1. Richard S. Sutton
2. Brett L. Moore
3. Mehmet K. Muezzinoglu
4. Andrew Barto
5. Arthur Guez
6. George R. Aronoff
7. Martin A. Riedmiller
8. Ben J. A. Kröse
9. Christopher J. C. H. Watkins
10. Alfred A. Jacobs

Who trusts Adam E. Gaweda overall

1. Chao Yu
2. Jordan M. Malof
3. Jiming Liu
4. Shamim Nemati
5. Pablo Escandell-Montero
6. George R. Aronoff
7. Alfred A. Jacobs
8. Solveig Badillo
9. Mehmet K. Muezzinoglu
10. José David Martín-Guerrero

Papers from Adam E. Gaweda's perspective

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

1. Reinforcement Learning: An Introduction
2. Learning from delayed rewards
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
7. Human-level control through deep reinforcement learning
8. Long Short-Term Memory
9. Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

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
• Optimizing drug therapy with Reinforcement Learning: The case of Anemia Management (2011) — 11 citations
• Improving management of Anemia in End Stage Renal Disease using Reinforcement Learning (2009) — 9 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