Bram Bakker

Reinforcement Learning · 2001–2008

A researcher in the Science corpus: 7 papers; trusts 42 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 34 citations into it; #285 of 2,242 by trust here, #1,174 by citations
• Artificial Intelligence — 10 citations into it; #11,341 of 35,345 by trust here, #22,463 by citations
• Model Architectures — 8 citations into it

Whom Bram Bakker trusts overall

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

1. J. Urgen Schmidhuber
2. Richard S. Sutton
3. Andrew Barto
4. Longxin Lin
5. Sepp Hochreiter
6. Leslie Pack Kaelbling
7. G. Tesauro
8. Geoffrey E. Hinton
9. Peter S. Dayan
10. Andrew W. Moore

Who trusts Bram Bakker overall

1. J. Urgen Schmidhuber
2. Sergey Levine
3. Daan Wierstra
4. Pierre-Yves Oudeyer
5. Yoshua Bengio
6. Aditya Rawal
7. Scott Niekum
8. Michael Janner
9. Matthew J. Hausknecht
10. Trevor Darrell

Papers from Bram Bakker's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• A robot that reinforcement-learns to identify and memorize important previous observations (2003) — 73 citations
• Quasi-online reinforcement learning for robots (2006) — 43 citations
• Reinforcement learning by backpropagation through an LSTM model/critic (2007) — 30 citations
• Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs (2008) — 258 citations
• Utile Coordination: Learning Interdependencies Among Cooperative Agents (2005) — 75 citations
• Hierarchical Reinforcement Learning Based on Subgoal Discovery and Subpolicy Specialization (2005) — 151 citations
• Reinforcement Learning with Long Short-Term Memory (2001) — 349 citations