Ralf Schoknecht

According to our database, Ralf Schoknecht authored at least 12 papers between 2002 and 2004.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2004

Using Machine Learning for Estimating the Defect Content After an Inspection.

Frank Padberg, Thomas Ragg, Ralf Schoknecht

IEEE Trans. Software Eng., 2004

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

Ralf Schoknecht, Martin Spott, Martin A. Riedmiller

Soft Comput., 2004

Convergence of synchronous reinforcement learning with linear function approximation.

Artur Merke, Ralf Schoknecht

Proceedings of the Machine Learning, 2004

2003

Konvergenz von approximativem verstärkendem Lernen (Reinforcement-Lernen).

Ralf Schoknecht

PhD thesis, 2003

Reinforcement learning on explicitly specified time scales.

Ralf Schoknecht, Martin A. Riedmiller

Neural Comput. Appl., 2003

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

Ralf Schoknecht, Artur Merke

Proceedings of the Machine Learning, 2003

Learning to Control at Multiple Time Scales.

Ralf Schoknecht, Martin A. Riedmiller

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

Convergent Combinations of Reinforcement Learning with Linear Function Approximation.

Ralf Schoknecht, Artur Merke

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Optimality of Reinforcement Learning Algorithms with Linear Function Approximation.

Ralf Schoknecht

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

A Necessary Condition of Convergence for Reinforcement Learning with Function Approximation.

Artur Merke, Ralf Schoknecht

Proceedings of the Machine Learning, 2002

Speeding-up Reinforcement Learning with Multi-step Actions.

Ralf Schoknecht, Martin A. Riedmiller

Proceedings of the Artificial Neural Networks, 2002

Applying Machine Learning to Solve an Estimation Problem in Software Inspections.

Thomas Ragg, Frank Padberg, Ralf Schoknecht

Proceedings of the Artificial Neural Networks, 2002