Kamil Andrzej Ciosek

Reinforcement Learning · 2012–2018

A researcher in the Science corpus: 4 papers; trusts 132 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 80 citations into it; #1,406 of 2,242 by trust here, #1,864 by citations
• Artificial Intelligence — 51 citations into it; #6,680 of 35,345 by trust here, #15,004 by citations
• Computational Theory and Mathematics — 19 citations into it; #4,539 of 12,182 by trust here, #9,804 by citations
• Control and Systems Engineering — 18 citations into it; #4,255 of 8,257 by trust here, #4,514 by citations
• Optimization & Training — 15 citations into it
• Electrical and Electronic Engineering — 11 citations into it
• Biomedical Engineering — 9 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Kamil Andrzej Ciosek trusts overall

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

1. Richard S. Sutton
2. Jan Peters
3. Shun-ichi Amari
4. Stefan Schaal
5. Sham M. Kakade
6. Ronald J. Williams
7. Timothy P. Lillicrap
8. Diederik P. Kingma
9. Shixiang Shane Gu
10. E. Todorov

Who trusts Kamil Andrzej Ciosek overall

1. Shimon Whiteson
2. Matthew R. Fellows
3. Shangtong Zhang
4. Afshin Oroojlooyjadid
5. Kaiqing Zhang
6. Ofir Nachum
7. Anuj Mahajan
8. Hiroki Furuta
9. Timothy A. Mann
10. Abbas Abdolmaleki

Papers from Kamil Andrzej Ciosek's perspective

Ordered by how strongly the researchers Kamil Andrzej Ciosek 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Compositional Planning Using Optimal Option Models (2012) — 77 citations
• Expected Policy Gradients (2017) — 60 citations
• Expected Policy Gradients for Reinforcement Learning (2018) — 62 citations
• OFFER: Off-Environment Reinforcement Learning (2017) — 54 citations