Ivo Grondman
Reinforcement Learning · 2015
A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 73 citations into it; #1,409 of 2,242 by trust here, #1,190 by citations
- Artificial Intelligence — 42 citations into it
- Computational Theory and Mathematics — 17 citations into it
- Control and Systems Engineering — 15 citations into it
- Management Science and Operations Research — 14 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Optimization & Training — 7 citations into it
- Biomedical Engineering — 5 citations into it
Whom Ivo Grondman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Andrew Barto
- Peter W. Glynn
- Jan Peters
- Ronald J. Williams
- Leemon C. Baird III
- Justin A. Boyan
- Longxin Lin
- Steven J. Bradtke
- Vijaykumar Gullapalli
Who trusts Ivo Grondman overall
- J. Urgen Schmidhuber
- Panos Stinis
- Meixin Zhu
- Walid Abdullah Al
- Feiyun Zhu
- Devendra Singh Chaplot
- Zhixiong Xu
- Ghodai M. Abdelrahman
- Isac Arnekvist
- Yuxi Li
Papers from Ivo Grondman's perspective
Ordered by how strongly the researchers Ivo Grondman 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Long Short-Term Memory
- Policy Gradient Methods for Reinforcement Learning with Function Approximation
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS