Dries Sels
Atomic and Molecular Physics, and Optics · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Atomic and Molecular Physics, and Optics — 52 citations into it
Whom Dries Sels trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Polkovnikov (in Atomic and Molecular Physics, and Optics)
Papers from Dries Sels's perspective
Ordered by how strongly the researchers Dries Sels trusts endorse each paper. Same corpus, a different order for every researcher.
- Quantum Computation and Quantum Information
- I and J
- Human-level control through deep reinforcement learning
- Whither the future of controlling quantum phenomena? (Science)
- Reinforcement Learning: An Introduction
- Classical and Quantum Shortcuts to Adiabaticity for Scale-Invariant Driving
- Mastering the game of Go with deep neural networks and tree search
- Optimal control of coupled spin dynamics: design of NMR pulse sequences by gradient ascent algorithms. (Journal of magnetic resonance (San Diego, Calif. 1997 : Print))
- Chopped random-basis quantum optimization
- Machine learning phases of matter (Nature Physics)
Their papers
- Reinforcement Learning in Different Phases of Quantum Control (2017) — 399 citations
- Geometry and non-adiabatic response in quantum and classical systems (2016) — 386 citations