Brian Tanner
Reinforcement Learning · 2009–2011
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 37 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 21 citations into it; #429 of 2,242 by trust here, #885 by citations
- Artificial Intelligence — 13 citations into it; #4,746 of 35,345 by trust here, #9,641 by citations
- Computational Theory and Mathematics — 5 citations into it
Whom Brian Tanner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- G. Tesauro
- Richard S. Sutton
- Andrew Barto
- David E. Goldberg
- Dimitri P. Bertsekas
- Yehuda Koren
- Rogier Koppejan
- Peter Stone
- Leslie Pack Kaelbling
- Michael L. Littman
Who trusts Brian Tanner overall
- Shimon Whiteson
- W. B. Knox
- Yuxi Li
- Csaba Szepesvari
- Rogier Koppejan
- Peter Stone
- Roland Hafner
- Martha White
- Akihiko Yamaguchi
- George Dimitri Konidaris
Papers from Brian Tanner's perspective
Ordered by how strongly the researchers Brian Tanner trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Learning to predict by the methods of temporal differences
- Reinforcement Learning: A Survey
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Long Short-Term Memory
- TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
- Genetic Algorithms in Search Optimization and Machine Learning
Their papers
- Protecting against evaluation overfitting in empirical reinforcement learning (2011) — 121 citations
- RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments (2009) — 129 citations
- The Reinforcement Learning Competitions (2010) — 47 citations