Warwick Masson

Reinforcement Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 10 citations into it
• Artificial Intelligence — 6 citations into it; #21,551 of 35,345 by trust here, #27,551 by citations

Whom Warwick Masson trusts overall

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

1. Marc Peter Deisenroth
2. Jan Peters
3. Richard S. Sutton
4. Christopher J. C. H. Watkins
5. Shalabh Bhatnagar
6. Peter S. Dayan
7. Stefan Schaal
8. Andrew Barto
9. Sethu Vijayakumar
10. Gerhard Neumann

Who trusts Warwick Masson overall

1. Matthew J. Hausknecht
2. Ermo Wei
3. Rohan Chitnis
4. Jiechao Xiong
5. M. Stone
6. Drew Wicke
7. Shubham Tulsiani

Papers from Warwick Masson's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
6. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Reinforcement Learning with Parameterized Actions (2015) — 263 citations