Amy R. Ward

Reinforcement Learning · with Bergstrom · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it
• Management Science and Operations Research — 6 citations into it
• Finance — 5 citations into it

Whom Amy R. Ward trusts overall

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

1. Richard S. Sutton
2. Michail G. Lagoudakis
3. Nan Jiang
4. Adith Swaminathan
5. Rama Cont
6. James M. Robins

Papers from Amy R. Ward's perspective

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

1. Reinforcement Learning: An Introduction
2. Least-Squares Policy Iteration
3. Doubly Robust Off-policy Value Evaluation for Reinforcement Learning
4. Q-learning
5. Dynamic Programming and Optimal Control. Volume 1
6. Estimation of Regression Coefficients When Some Regressors are not Always Observed
7. Doubly Robust Policy Evaluation and Optimization
8. Order Book Dynamics in Liquid Markets: Limit Theorems and Diffusion Approximations
9. In Advances in Neural Information Processing Systems
10. High-frequency trading in a limit order book

Their papers

• Data-Driven Market-Making via Model-Free Learning (2020) — 132 citations