Ralf Schoknecht

发表

Using machine learning for estimating the defect content after an inspection

Thomas Ragg, Frank Padberg, Ralf Schoknecht, 2004, IEEE Transactions on Software Engineering.

Speeding-up Reinforcement Learning with Multi-step Actions

Martin A. Riedmiller, Ralf Schoknecht, 2002, ICANN.

Convergence of synchronous reinforcement learning with linear function approximation

Artur Merke, Ralf Schoknecht, 2004, ICML '04.

Using reinforcement learning for engine control

Martin A. Riedmiller, Martin Riedmiller, Ralf Schoknecht, 1999 .

Applying Machine Learning to Solve an Estimation Problem in Software Inspections

Thomas Ragg, Frank Padberg, Ralf Schoknecht, 2002, ICANN.

Konvergenz von approximativem verstärkendem Lernen (Reinforcement-Lernen)

Ralf Schoknecht, 2003 .

Fynesse: An architecture for integrating prior knowledge in autonomously learning agents

Martin Spott, Martin A. Riedmiller, Ralf Schoknecht, 2004, Soft Comput..

Reinforcement learning on explicitly specified time scales

Martin A. Riedmiller, Ralf Schoknecht, Ralf Schoknecht, 2003, Neural Computing & Applications.

A Necessary Condition of Convergence for Reinforcement Learning with Function Approximation

Artur Merke, Ralf Schoknecht, Ralf Schoknecht, 2002, ICML.

Fuzzy-neuro-controlled verified instruction scheduler

Martin Spott, Martin A. Riedmiller, Thilo S. Gaul, 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

Learning to Control at Multiple Time Scales

Martin A. Riedmiller, Ralf Schoknecht, 2003, ICANN.

Convergent Combinations of Reinforcement Learning with Linear Function Approximation

Artur Merke, Ralf Schoknecht, Ralf Schoknecht, 2002, NIPS.

Design of autonomously learning controllers using FYNESSE

Martin Spott, Martin A. Riedmiller, Martin Riedmiller, 2001 .

TD(0) Converges Provably Faster than the Residual Gradient Algorithm

Artur Merke, Ralf Schoknecht, Ralf Schoknecht, 2003, ICML.

Optimality of Reinforcement Learning Algorithms with Linear Function Approximation

Ralf Schoknecht, Ralf Schoknecht, 2002, NIPS.