| 2007 | ||
|---|---|---|
| 4 | EE | Daniel Schneegaß, Steffen Udluft, Thomas Martinetz: Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification. ICANN (1) 2007: 109-118 |
| 3 | EE | Anton Maximilian Schäfer, Daniel Schneegaß, Volkmar Sterzing, Steffen Udluft: A Neural Reinforcement Learning Approach to Gas Turbine Control. IJCNN 2007: 1691-1696 |
| 2006 | ||
| 2 | Daniel Schneegaß, Steffen Udluft, Thomas Martinetz: Kernel Rewards Regression: An Information Efficient Batch Policy Iteration Approach. Artificial Intelligence and Applications 2006: 428-433 | |
| 1 | EE | Anton Maximilian Schäfer, Steffen Udluft, Hans-Georg Zimmermann: Learning Long Term Dependencies with Recurrent Neural Networks. ICANN (1) 2006: 71-80 |
| 1 | Thomas Martinetz | [2] [4] |
| 2 | Anton Maximilian Schäfer | [1] [3] |
| 3 | Daniel Schneegaß | [2] [3] [4] |
| 4 | Volkmar Sterzing | [3] |
| 5 | Hans-Georg Zimmermann | [1] |