Martin Klissarov
Reinforcement Learning · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 71 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 67 citations into it
- Artificial Intelligence — 41 citations into it; #30,162 of 35,345 by trust here, #25,040 by citations
- Computational Theory and Mathematics — 10 citations into it; #10,485 of 12,182 by trust here, #6,798 by citations
- Management Science and Operations Research — 7 citations into it; #11,149 of 11,946 by trust here, #9,383 by citations
- Control and Systems Engineering — 6 citations into it; #8,031 of 8,257 by trust here, #6,764 by citations
Whom Martin Klissarov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Doina Precup
- Satinder Singh
- Pierre-Luc Bacon
- Andrew Barto
- Geoffrey E. Hinton
- Volodymyr Mnih
- E. Todorov
- Jean Harb
- Shie Mannor
Who trusts Martin Klissarov overall
Papers from Martin Klissarov's perspective
Ordered by how strongly the researchers Martin Klissarov 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Reinforcement Learning: An Introduction
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
Their papers
- When Waiting is not an Option : Learning Options with a Deliberation Cost (2017) — 170 citations
- Options of Interest: Temporal Abstraction with Interest Functions (2020) — 52 citations
- Flexible Option Learning (2021) — 36 citations