Lex Weaver
Reinforcement Learning · 1998–2001
A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 57 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 22 citations into it; #444 of 2,242 by trust here, #1,100 by citations
Whom Lex Weaver trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Andrew Barto
- G. Tesauro
- Peter Marbach
- Tommi S. Jaakkola
- John N. Tsitsiklis
- Sebastian Thrun
- Hajime Kimura
- Satinder Singh
- Michael I. Jordan
Who trusts Lex Weaver overall
- Jan Peters
- Shixiang Shane Gu
- Yang Fan
- Sergey Levine
- Qian Liu
- Fei Tian
- Yoshua Bengio
- Jakob N. Foerster
- Lijun Wu
- Satinder Singh
Papers from Lex Weaver's perspective
Ordered by how strongly the researchers Lex Weaver trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Reinforcement Learning: An Introduction
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning to predict by the methods of temporal differences
Their papers
- The Optimal Reward Baseline for Gradient-Based Reinforcement Learning (2001) — 275 citations
- Learning to Play Chess Using Temporal Differences (2000) — 136 citations
- TDLeaf(lambda): Combining Temporal Difference Learning with Game-Tree Search (1999)
- KnightCap: A chess program that learns by combining TD(lambda) with game-tree search (1999)
- Experiments in Parameter Learning Using Temporal Differences (1998)