R. Grupen
Reinforcement Learning · 1997–2012
A researcher in the Science corpus: 12 papers; trusts 60 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 57 citations into it; #1,119 of 2,242 by trust here, #1,705 by citations
- Artificial Intelligence — 38 citations into it; #6,573 of 35,345 by trust here, #9,870 by citations
- Control and Systems Engineering — 15 citations into it; #842 of 8,257 by trust here, #923 by citations
- Cognitive Neuroscience — 7 citations into it; #6,212 of 10,852 by trust here, #9,453 by citations
- Computational Theory and Mathematics — 7 citations into it
- Biomedical Engineering — 6 citations into it; #2,678 of 10,734 by trust here, #8,278 by citations
- Management Science and Operations Research — 6 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it; #8,820 of 21,575 by trust here, #13,269 by citations
Whom R. Grupen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Andrew Barto
- Daniel J. Lizotte
- George Dimitri Konidaris
- Andrew Y. Ng
- Stefan Schaal
- Jan Peters
- Ben J. A. Kröse
- Sridhar Mahadevan
- Satinder Singh
Who trusts R. Grupen overall
- George Dimitri Konidaris
- Jens Kober
- Oliver Kroemer
- Scott Niekum
- Andrew Barto
- Jan Peters
- J. Bagnell
- Scott Kuindersma
- Sergey Levine
- Pieter Abbeel
Papers from R. Grupen's perspective
Ordered by how strongly the researchers R. Grupen 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Reinforcement Learning: An Introduction
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
Their papers
- Robot learning from demonstration by constructing skill trees (2012) — 358 citations
- Autonomous Skill Acquisition on a Mobile Manipulator (2011) — 68 citations
- A model of shared grasp affordances from demonstration (2007) — 75 citations
- Learning Generalizable Control Programs (2011) — 65 citations
- Intrinsically motivated hierarchical manipulation (2008) — 39 citations
- A Framework for Learning and Control in Intelligent Humanoid Robots (2005) — 33 citations
- Learning dynamic arm motions for postural recovery (2011) — 23 citations
- Variational Bayesian Optimization for Runtime Risk-Sensitive Control (2012) — 23 citations
- Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories (2010) — 116 citations
- Improving Grasp Skills Using Schema Structured Learning (2006) — 20 citations
- Learning to Coordinate Controllers - Reinforcement Learning on a Control Basis (1997)
- A feedback control structure for on-line learning tasks (1997)