Harm Vanseijen

Reinforcement Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it; #1,634 of 2,242 by trust here, #1,973 by citations
• Artificial Intelligence — 7 citations into it

Whom Harm Vanseijen trusts overall

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

1. Richard S. Sutton
2. Justin A. Boyan
3. Longxin Lin
4. Stephen W. Carden
5. Andrew Barto
6. Steven J. Bradtke
7. Michail G. Lagoudakis
8. Ronald E. Parr
9. Sander Adam
10. Csaba Szepesvari

Who trusts Harm Vanseijen overall

1. Wesley Chung
2. Somjit Nath
3. Ajin George Joseph

Papers from Harm Vanseijen's perspective

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

1. Reinforcement Learning: An Introduction
2. Linear Least-Squares algorithms for temporal difference learning
3. Learning to predict by the methods of temporal differences
4. Least-Squares Policy Iteration
5. Gradient-based learning applied to document recognition
6. Self-improving reactive agents based on reinforcement learning, planning and teaching
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Learning from delayed rewards

Their papers

• A Deeper Look at Planning as Learning from Replay (2015) — 59 citations