Svetoslav Kolev
Reinforcement Learning · 2015–2018
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 23 citations into it
- Artificial Intelligence — 20 citations into it; #24,127 of 35,345 by trust here, #25,809 by citations
- Control and Systems Engineering — 15 citations into it; #5,277 of 8,257 by trust here, #4,962 by citations
- Computer Vision and Pattern Recognition — 9 citations into it
- Biomedical Engineering — 7 citations into it
- Computational Theory and Mathematics — 6 citations into it
Whom Svetoslav Kolev trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gabriele Gilardi
- E. Todorov
- Vikash Kumar
- Sham M. Kakade
- Michael Montemerlo
- Jan Peters
- Richard A. Newcombe
- Yuval Tassa
- Igor Mordatch
- Aravind Rajeswaran
Who trusts Svetoslav Kolev overall
Papers from Svetoslav Kolev's perspective
Ordered by how strongly the researchers Svetoslav Kolev 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Trust Region Policy Optimization (International Conference on Machine Learning)
- Reinforcement Learning: An Introduction
- GENERATIVE ADVERSARIAL NETS
Their papers
- Physically consistent state estimation and system identification for contacts (2015) — 52 citations
- Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system (2018) — 66 citations