Marius Schnaubelt

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 5 citations into it

Whom Marius Schnaubelt trusts overall

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

1. Justin A. Boyan
2. Jan Peters
3. Michael Rubenstein

Papers from Marius Schnaubelt's perspective

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

1. Relative Entropy Policy Search
2. Sparse Gaussian Processes using Pseudo-inputs
3. A Hilbert Space Embedding for Distributions
4. Model-Free Preference-Based Reinforcement Learning
5. Least-Squares Temporal Difference Learning
6. Theory of Reproducing Kernels.
7. Model-based contextual policy search for data-efficient generalization of robot skills
8. Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
9. A Formal Basis for the Heuristic Determination of Minimum Cost Paths
10. Non-parametric Policy Search with Limited Information Loss

Their papers

• Learning Robust Policies for Object Manipulation with Robot Swarms (2018) — 19 citations