Oleg O. Sushkov
Reinforcement Learning · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 107 citations into it
- Artificial Intelligence — 102 citations into it; #26,703 of 35,345 by trust here, #11,750 by citations
- Control and Systems Engineering — 51 citations into it; #6,968 of 8,257 by trust here, #1,252 by citations
Whom Oleg O. Sushkov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sergey Levine
- Chelsea Finn
- Marc G. Bellemare
- Diederik P. Kingma
- Geoffrey E. Hinton
- Richard S. Sutton
- Matej Vecerík
- Pieter Abbeel
- Timothy P. Lillicrap
- Yoshua Bengio
Who trusts Oleg O. Sushkov overall
Papers from Oleg O. Sushkov's perspective
Ordered by how strongly the researchers Oleg O. Sushkov 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)
- ImageNet Large Scale Visual Recognition Challenge
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Human-level control through deep reinforcement learning
- ImageNet: A large-scale hierarchical image database
Their papers
- Scaling data-driven robotics with reward sketching and batch reinforcement learning (2019) — 160 citations
- A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning (2018) — 118 citations
- A Framework for Data-Driven Robotics (2019) — 30 citations