| * | 2009 |
|---|
| 10 | EE | Daniel Kudenko,
Marek Grzes:
Knowledge-Based Reinforcement Learning for Data Mining.
ADMI 2009: 21-22 |
| 2008 |
|---|
| 9 | EE | Marek Grzes,
Daniel Kudenko:
Robustness Analysis of SARSA(lambda): Different Models of Reward and Initialisation.
AIMSA 2008: 144-156 |
| 8 | EE | Marek Grzes,
Daniel Kudenko:
An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance.
ICAISC 2008: 1041-1051 |
| 7 | EE | Marek Grzes,
Daniel Kudenko:
Multigrid Reinforcement Learning with Reward Shaping.
ICANN (1) 2008: 357-366 |
| 2007 |
|---|
| 6 | EE | Marek Kretowski,
Marek Grzes:
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization.
ICANNGA (1) 2007: 1-10 |
| 5 | EE | Marek Kretowski,
Marek Grzes:
Evolutionary Induction of Mixed Decision Trees.
IJDWM 3(4): 68-82 (2007) |
| 2006 |
|---|
| 4 | EE | Marek Kretowski,
Marek Grzes:
Mixed Decision Trees: An Evolutionary Approach.
DaWaK 2006: 260-269 |
| 3 | EE | Marek Kretowski,
Marek Grzes:
Evolutionary Learning of Linear Trees with Embedded Feature Selection.
ICAISC 2006: 400-409 |
| 2 | EE | Marek Kretowski,
Marek Grzes:
Evolutionary Induction of Cost-Sensitive Decision Trees.
ISMIS 2006: 121-126 |
| 2005 |
|---|
| 1 | | Marek Kretowski,
Marek Grzes:
Global Induction of Oblique Decision Trees: An Evolutionary Approach.
Intelligent Information Systems 2005: 309-318 |
