Hans-Jörg Schütz

Reinforcement Learning · 2010

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it
• Mathematical Optimization — 6 citations into it

Whom Hans-Jörg Schütz trusts overall

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

1. Dimitri P. Bertsekas
2. P. Pardalos
3. D. Farias
4. Ryuichi Oka
5. Benjamin Van Roy
6. Andrew Barto
7. Richard S. Sutton
8. Martin L. Puterman
9. Ben J. A. Kröse
10. Abhijit Gosavi

Who trusts Hans-Jörg Schütz overall

1. Chao Yu
2. Jiming Liu
3. Shamim Nemati

Papers from Hans-Jörg Schütz's perspective

Ordered by how strongly the researchers Hans-Jörg Schütz trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Linear Programming Approach to Approximate Dynamic Programming
2. Reinforcement learning
3. Approximate dynamic programming: solving the curses of dimensionality
4. Neuro-Dynamic Programming
5. OUTPATIENT SCHEDULING IN HEALTH CARE: A REVIEW OF LITERATURE
6. Dynamic Programming
7. On the Convergence of Stochastic Iterative Dynamic Programming Algorithms
8. Stable Function Approximation in Dynamic Programming
9. Dynamic Programming and Markov Processes
10. Linear Least-Squares algorithms for temporal difference learning

Their papers

• Approximate dynamic programming for capacity allocation in the service industry (2010) — 99 citations