Daan Bloembergen
Reinforcement Learning · 2011–2017
A researcher in the Science corpus: 4 papers; trusts 33 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 53 citations into it; #1,281 of 2,242 by trust here, #1,118 by citations
- Artificial Intelligence — 38 citations into it; #17,368 of 35,345 by trust here, #12,083 by citations
- Management Science and Operations Research — 27 citations into it
- Game & Decision Theory — 14 citations into it; #194 of 249 by trust here, #149 by citations
- Sociology and Political Science — 10 citations into it
- Computational Theory and Mathematics — 7 citations into it
Whom Daan Bloembergen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Karl Tuyls
- Andrew Barto
- Lucian Busoniu
- Brian Skyrms
- Michael H. Bowling
- Christopher J. C. H. Watkins
- Liviu Panait
- Michael L. Littman
- Tilman Börgers
Who trusts Daan Bloembergen overall
- Karl Tuyls
- Pablo Hernandez-Leal
- Yan Zheng
- Gregory Palmer
- Emilio Calvano
- Marc Lanctot
- Jianye Hao
- Michael Kaisers
- Joel Z. Leibo
- Giacomo Calzolari
Papers from Daan Bloembergen's perspective
Ordered by how strongly the researchers Daan Bloembergen trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Human-level control through deep reinforcement learning
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Attention is All you Need (Neural Information Processing Systems)
- Reinforcement Learning: A Survey
Their papers
- Evolutionary Dynamics of Multi-Agent Learning: A Survey (2015) — 347 citations
- Lenient Multi-Agent Deep Reinforcement Learning (2017) — 168 citations
- Bee-inspired foraging in an embodied swarm (2011) — 17 citations
- Empirical and theoretical support for lenient learning (2011) — 12 citations