Jaedeug Choi

Reinforcement Learning · 2012

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 6 citations into it

Whom Jaedeug Choi trusts overall

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

1. Pieter Abbeel
2. Andrew Y. Ng
3. Abdeslam Boularias
4. Stuart J. Russell
5. Jens Kober
6. Jan Peters
7. Radford M. Neal
8. Brian D. Ziebart
9. Geoffrey E. Hinton
10. Gergely Neu

Who trusts Jaedeug Choi overall

1. Kun Li
2. Saurabh Arora
3. Joel W. Burdick
4. Prashant Doshi
5. Oliver Kroemer

Papers from Jaedeug Choi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Reinforcement Learning: An Introduction
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions (2012) — 139 citations