Justin Dyer

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Reinforcement Learning — 14 citations into it
• Cognitive Neuroscience — 7 citations into it
• Economics and Econometrics — 7 citations into it
• Game & Decision Theory — 5 citations into it

Whom Justin Dyer trusts overall

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

1. E. Todorov
2. Csaba Szepesvari
3. Richard S. Sutton
4. Dimitri P. Bertsekas
5. Pedro A. Ortega
6. Robert Leonard
7. Daniel McFadden
8. Christopher A. Sims
9. Andrew Barto

Papers from Justin Dyer's perspective

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

1. Reinforcement Learning: An Introduction
2. Human-level control through deep reinforcement learning
3. Neuro-Dynamic Programming
4. Relative Entropy Policy Search
5. Bandit Based Monte-Carlo Planning
6. Algorithms for Reinforcement Learning
7. ImageNet classification with deep convolutional neural networks
8. Linearly-solvable Markov decision problems
9. Individual Choice Behavior
10. Gradient-based learning applied to document recognition

Their papers

• Information-Theoretic Bounded Rationality (2015) — 59 citations