Luis Paulo Reis

Artificial Intelligence · 2010–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Optimization & Training — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Luis Paulo Reis trusts overall

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

1. Jan Peters
2. Gerhard Neumann
3. Nikolaus Hansen

Papers from Luis Paulo Reis's perspective

Ordered by how strongly the researchers Luis Paulo Reis trusts endorse each paper. Same corpus, a different order for every researcher.

1. Trust Region Policy Optimization (International Conference on Machine Learning)
2. Natural Gradient Works Efficiently in Learning
3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
4. Relative Entropy Policy Search
5. Learning Attractor Landscapes for Learning Motor Primitives
6. Natural Evolution Strategies
7. Using Expectation-Maximization for Reinforcement Learning
8. Learning perceptual coupling for motor primitives
9. Variational Inference for Policy Search in changing situations
10. The CMA Evolution Strategy: A Tutorial

Their papers

• Deriving and improving CMA-ES with information geometric trust regions (2017) — 38 citations
• Serious games for rehabilitation: A survey and a classification towards a taxonomy (2010) — 419 citations