Matthias Heger

1994

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

Whom Matthias Heger trusts overall

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

1. Richard S. Sutton
2. Andrew Barto

Who trusts Matthias Heger overall

1. Csaba Szepesvari
2. Michael L. Littman
3. Javier García
4. Fernando Fernández
5. Csaba Szepesv Ari
6. Tommaso Mannucci
7. Tetsuro Morimura
8. Zachary Chase Lipton
9. Pawea Cichosz
10. E. van Kampen

Papers from Matthias Heger's perspective

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

1. Residual Algorithms: Reinforcement Learning with Function Approximation
2. Parallel and distributed computation
3. On the Convergence of Stochastic Iterative Dynamic Programming Algorithms
4. Linear Least-Squares algorithms for temporal difference learning
5. Learning in embedded systems
6. Dynamic Programming and Markov Processes
7. Dynamic Programming: Deterministic and Stochastic Models
8. Learning internal representations by error propagation
9. Stable Function Approximation in Dynamic Programming
10. Gradient-based learning applied to document recognition

Their papers

• Consideration of Risk in Reinforcement Learning (1994)