Marie-Jean Meurs

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it

Whom Marie-Jean Meurs trusts overall

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

1. Richard S. Sutton

Papers from Marie-Jean Meurs's perspective

Ordered by how strongly the researchers Marie-Jean Meurs trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
3. This PDF file includes: Materials and Methods
4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
5. Deep Learning
6. Learning Deep Architectures for AI
7. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
8. Extracting and composing robust features with denoising autoencoders
9. The Helmholtz Machine
10. NICE: Non-linear Independent Components Estimation

Their papers

• Independently Controllable Factors (2017) — 71 citations