Justin A. Boyan
Reinforcement Learning · 1994–2002
A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 290 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 20 citations into it; #86 of 2,242 by trust here, #467 by citations
Whom Justin A. Boyan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Longxin Lin
- Richard S. Sutton
- G. Tesauro
- Christopher G. Atkeson
- Andrew Barto
- John N. Tsitsiklis
- Fred W. Glover
- Ben J. A. Kröse
- Leslie Pack Kaelbling
- Steven J. Bradtke
Who trusts Justin A. Boyan overall
- Richard S. Sutton
- Huizhen Yu
- A. Mahmood
- Michael L. Littman
- Jan Peters
- Csaba Szepesvari
- Adam White
- Lihong Li
- Aviv Tamar
- Shimon Whiteson
Papers from Justin A. Boyan's perspective
Ordered by how strongly the researchers Justin A. Boyan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Reinforcement Learning: An Introduction
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Technical Update: Least-Squares Temporal Difference Learning (2002) — 379 citations
- Learning Evaluation Functions to Improve Optimization by Local Search (2000) — 189 citations
- Least-Squares Temporal Difference Learning (1999)
- Generalization in Reinforcement Learning: Safely Approximating the Value Function (1994)