Marek Grzes

Marek Grzes, Jesse Hoey: Analysis of methods for solving MDPs. AAMAS 2012: 1237-1238

Peter Vrancx, Matthew Knudson, Marek Grzes (Eds.): Adaptive and Learning Agents - International Workshop, ALA 2011, Held at AAMAS 2011, Taipei, Taiwan, May 2, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7113, Springer 2012, isbn 978-3-642-28498-4

Marek Grzes, Jesse Hoey, Shehroz S. Khan, Alex Mihailidis, Stephen Czarnuch, Daniel Jackson, Andrew Monk: Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems as a Translation of a Psychological Model. CoRR abs/1206.5698 (2012)

Sam Devlin, Daniel Kudenko, Marek Grzes: An Empirical Study of Potential-Based Reward Shaping and Advice in Complex, Multi-Agent Systems. Advances in Complex Systems 14(2): 251-278 (2011)

Jesse Hoey, Marek Grzes: Distributed Control of Situated Assistance in Large Domains with Many Tasks. ICAPS 2011

Marek Grzes, Jesse Hoey: Efficient planning in R-max. AAMAS 2011: 963-970

Sam Devlin, Marek Grzes, Daniel Kudenko: Multi-agent, reward shaping for RoboCup KeepAway. AAMAS 2011: 1227-1228

Marcin Czajkowski, Marek Grzes, Marek Kretowski: Multi-Test Decision Trees for Gene Expression Data Analysis. SIIS 2011: 154-167

Marek Grzes, Daniel Kudenko: Online learning of shaping rewards in reinforcement learning. Neural Networks 23(4): 541-550 (2010)

Marek Grzes, Daniel Kudenko: PAC-MDP learning with knowledge-based admissible models. AAMAS 2010: 349-358

Marek Grzes, Daniel Kudenko: Reinforcement Learning with Reward Shaping and Mixed Resolution Function Approximation. IJATS 1(2): 36-54 (2009)

Daniel Kudenko, Marek Grzes: Knowledge-Based Reinforcement Learning for Data Mining. ADMI 2009: 21-22

Sam Devlin, Marek Grzes, Daniel Kudenko: Reinforcement Learning in RoboCup KeepAway with Partial Observability. IAT 2009: 201-208

Marek Grzes, Daniel Kudenko: Improving Optimistic Exploration in Model-Free Reinforcement Learning. ICANNGA 2009: 360-369

Marek Grzes, Daniel Kudenko: Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning. ICMLA 2009: 337-344

Marek Grzes, Daniel Kudenko: Robustness Analysis of SARSA(lambda): Different Models of Reward and Initialisation. AIMSA 2008: 144-156

Marek Grzes, Daniel Kudenko: An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance. ICAISC 2008: 1041-1051

Marek Grzes, Daniel Kudenko: Multigrid Reinforcement Learning with Reward Shaping. ICANN (1) 2008: 357-366

Marek Kretowski, Marek Grzes: Evolutionary Induction of Mixed Decision Trees. IJDWM 3(4): 68-82 (2007)

Marek Kretowski, Marek Grzes: Evolutionary Induction of Decision Trees for Misclassification Cost Minimization. ICANNGA (1) 2007: 1-10

Marek Kretowski, Marek Grzes: Mixed Decision Trees: An Evolutionary Approach. DaWaK 2006: 260-269

Marek Kretowski, Marek Grzes: Evolutionary Learning of Linear Trees with Embedded Feature Selection. ICAISC 2006: 400-409

Marek Kretowski, Marek Grzes: Evolutionary Induction of Cost-Sensitive Decision Trees. ISMIS 2006: 121-126

Marek Kretowski, Marek Grzes: Global Induction of Oblique Decision Trees: An Evolutionary Approach. Intelligent Information Systems 2005: 309-318