M. Sutton

Reinforcement Learning · 2014

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it; #1,020 of 2,242 by trust here, #1,750 by citations

Whom M. Sutton trusts overall

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

1. Richard S. Sutton

Who trusts M. Sutton overall

1. A. Mahmood
2. Hado van Hasselt
3. Richard S. Sutton
4. Zhongwen Xu

Papers from M. Sutton's perspective

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

1. Residual Algorithms: Reinforcement Learning with Function Approximation
2. Stable Function Approximation in Dynamic Programming
3. Markov Decision Processes: Discrete Stochastic Dynamic Programming
4. Eligibility Traces for Off-Policy Policy Evaluation
5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
6. Reinforcement Learning: An Introduction
7. Linear Least-Squares algorithms for temporal difference learning
8. Trust Region Policy Optimization (International Conference on Machine Learning)
9. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
10. Dynamic Programming and Markov Processes

Their papers

• A new Q ( � ) with interim forward view and Monte Carlo equivalence (2014)