Tobias Jung

Reinforcement Learning · with Polani · 2011

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 8 citations into it

Whom Tobias Jung trusts overall

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

1. Stephen W. Carden
2. Richard S. Sutton
3. Ronen I. Brafman
4. Andrew Barto
5. Karl J. Friston
6. Joaquin Quiñonero-Candela
7. J. Urgen Schmidhuber
8. Moshe Tennenholtz
9. Carl E. Rasmussen
10. Satinder Singh

Who trusts Tobias Jung overall

1. Christoph Salge
2. Richard Ngo
3. Cornelius Glackin
4. Shakir Mohamed

Papers from Tobias Jung's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Intrinsically Motivated Reinforcement Learning
6. A possibility for implementing curiosity and boredom in model-building neural controllers
7. Least-Squares Policy Iteration
8. Long Short-Term Memory
9. An Introduction to Reinforcement Learning
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Empowerment for continuous agent—environment systems (2011) — 110 citations