Daniel Kudenko

2008
46		Karl Tuyls, Ann Nowé, Zahia Guessoum, Daniel Kudenko: Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 5th, 6th, and 7th European Symposium, ALAMAS 2005-2007 on Adaptive and Learning Agents and Multi-Agent Systems, Revised Selected Papers Springer 2008
45	EE	Marek Grzes, Daniel Kudenko: Robustness Analysis of SARSA(lambda): Different Models of Reward and Initialisation. AIMSA 2008: 144-156
44	EE	Arturo Servin, Daniel Kudenko: Multi-Agent Reinforcement Learning for Intrusion Detection: A case study and evaluation. ECAI 2008: 873-874
43	EE	Marek Grzes, Daniel Kudenko: An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance. ICAISC 2008: 1041-1051
42	EE	Marek Grzes, Daniel Kudenko: Multigrid Reinforcement Learning with Reward Shaping. ICANN (1) 2008: 357-366
41	EE	María Arinbjarnar, Daniel Kudenko: Schemas in Directed Emergent Drama. ICIDS 2008: 180-185
40	EE	Heather Barber, Daniel Kudenko: Generation of Dilemma-Based Narratives: Method and Turing Test Evaluation. ICIDS 2008: 214-217
39	EE	Arturo Servin, Daniel Kudenko: Multi-Agent Reinforcement Learning for Intrusion Detection: A Case Study and Evaluation. MATES 2008: 159-170
38	EE	Enda Ridge, Daniel Kudenko: Determining Whether a Problem Characteristic Affects Heuristic Performance. Recent Advances in Evolutionary Computation for Combinatorial Optimization 2008: 21-35
2007
37	EE	Matthew Grounds, Daniel Kudenko: Parallel reinforcement learning with linear function approximation. AAMAS 2007: 45
36		Heather Barber, Daniel Kudenko: Dynamic Generation of Dilemma-based Interactive Narratives. AIIDE 2007: 2-7
35	EE	Arturo Servin, Daniel Kudenko: Multi-agent Reinforcement Learning for Intrusion Detection. Adaptive Agents and Multi-Agents Systems 2007: 211-223
34	EE	Matthew Grounds, Daniel Kudenko: Parallel Reinforcement Learning with Linear Function Approximation. Adaptive Agents and Multi-Agents Systems 2007: 60-74
33	EE	Matthew Grounds, Daniel Kudenko: Combining Reinforcement Learning with Symbolic Planning. Adaptive Agents and Multi-Agents Systems 2007: 75-86
32	EE	Enda Ridge, Daniel Kudenko: An Analysis of Problem Difficulty for a Class of Optimisation Heuristics. EvoCOP 2007: 198-209
31	EE	Enda Ridge, Daniel Kudenko: Analyzing heuristic performance with response surface models: prediction, optimization and robustness. GECCO 2007: 150-157
30	EE	Enda Ridge, Daniel Kudenko: Screening the parameters affecting heuristic performance. GECCO 2007: 180
29	EE	I-Hsien Ting, Chris Kimble, Daniel Kudenko: Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users. ICALT 2007: 929-930
28	EE	I-Hsien Ting, Lillian Clark, Chris Kimble, Daniel Kudenko, Peter Wright: APD-A Tool for Identifying Behavioural Patterns Automatically from Clickstream Data. KES (2) 2007: 66-73
27	EE	Enda Ridge, Daniel Kudenko: Tuning the Performance of the MMAS Heuristic. SLS 2007: 46-60
26	EE	Heather Barber, Daniel Kudenko: Adaptive Generation of Dilemma-based Interactive Narratives. Advanced Intelligent Paradigms in Computer Games 2007: 19-37
25	EE	Enda Ridge, Edward Curry, Daniel Kudenko, Dimitar Kazakov: Special issue on Nature-inspired systems for parallel, asynchronous and decentralised environments. Multiagent and Grid Systems 3(1): 1-2 (2007)
2006
24	EE	Zoë P. Lock, Daniel Kudenko: Interactions Between Stereotypes. AH 2006: 172-181
2005
23		Daniel Kudenko, Dimitar Kazakov, Eduardo Alonso: Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning Springer 2005
22	EE	I-Hsien Ting, Chris Kimble, Daniel Kudenko: A Pattern Restore Method for Restoring Missing Patterns in Server Side Clickstream Data. APWeb 2005: 501-512
21	EE	Spiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens: Learning to Coordinate Using Commitment Sequences in Cooperative Multi-agent Systems. Adaptive Agents and Multi-Agent Systems 2005: 106-118
20	EE	Spiros Kapetanakis, Daniel Kudenko: Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-agent Systems. Adaptive Agents and Multi-Agent Systems 2005: 119-131
19	EE	Martin Carpenter, Daniel Kudenko: Baselines for Joint-Action Reinforcement Learning of Coordination in Cooperative Multi-agent Systems. Adaptive Agents and Multi-Agent Systems 2005: 55-72
18	EE	Enda Ridge, Daniel Kudenko, Dimitar Kazakov, Edward Curry: Moving Nature-Inspired Algorithms to Parallel, Asynchronous and Decentralised Environments. SOAS 2005: 35-49
17	EE	I-Hsien Ting, Chris Kimble, Daniel Kudenko: UBB Mining: Finding Unexpected Browsing Behaviour in Clickstream Data to Improve a Web Site's Design. Web Intelligence 2005: 179-185
2004
16	EE	Spiros Kapetanakis, Daniel Kudenko: Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-Agent Systems. AAMAS 2004: 1258-1259
15		Thomas Walker, Daniel Kudenko, Malcolm J. A. Strens: Algorithms for Distributed Exploration. ECAI 2004: 84-88
2003
14		Eduardo Alonso, Daniel Kudenko, Dimitar Kazakov: Adaptive Agents and Multi-Agent Systems: Adaptation and Multi-Agent Learning Springer 2003
13	EE	Daniel Kudenko, Mathias Bauer, Dietmar Dengler: Group Decision Making through Mediated Discussions. User Modeling 2003: 238-247
2002
12		Spiros Kapetanakis, Daniel Kudenko: Reinforcement Learning of Coordination in Cooperative Multi-Agent Systems. AAAI/IAAI 2002: 326-331
11	EE	Spiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens: Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems. Adaptive Agents and Multi-Agents Systems 2002: 18-32
2001
10	EE	Dimitar Kazakov, Daniel Kudenko: Machine Learning and Inductive Logic Programming for Multi-agent Systems. EASSS 2001: 246-272
9	EE	Eduardo Alonso, Daniel Kudenko: Sistemas Logicos de Multiples Agentes: Arquitectura e Implementacion en Simuladores de Conflictos. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 13: 85-93 (2001)
2000
8	EE	Eduardo Alonso, Daniel Kudenko: Machine Learning for Logic-Based Multi-agent Systems. FAABS 2000: 306-307
1999
7	EE	Daniel Kudenko, Haym Hirsh: Feature-Based Learners for Description Logics. Description Logics 1999
1998
6		Daniel Kudenko, Haym Hirsh: Feature Generation for Sequence Categorization. AAAI/IAAI 1998: 733-738
1997
5		Haym Hirsh, Daniel Kudenko: Representing Sequences in Description Logics. AAAI/IAAI 1997: 384-389
4		William W. Cohen, Daniel Kudenko: Transferring and Retraining Learned Information Filters. AAAI/IAAI 1997: 583-590
1996
3		Daniel Kudenko, Haym Hirsh: Representing Sequences in Description Logics Using Suffix Trees. Description Logics 1996: 141-145
1994
2		Jochen Heinsohn, Daniel Kudenko, Bernhard Nebel, Hans-Jürgen Profitlich: An Empirical Analysis of Terminological Representation Systems. Artif. Intell. 68(2): 367-397 (1994)
1992
1		Jochen Heinsohn, Daniel Kudenko, Bernhard Nebel, Hans-Jürgen Profitlich: An Empirical Analysis of Terminological Representation Systems. AAAI 1992: 767-773

Coauthor Index

1	Eduardo Alonso	[8] [9] [14] [23]
2	María Arinbjarnar	[41]
3	Heather Barber	[26] [36] [40]
4	Mathias Bauer	[13]
5	Martin Carpenter	[19]
6	Lillian Clark	[28]
7	William W. Cohen	[4]
8	Edward Curry	[18] [25]
9	Dietmar Dengler	[13]
10	Matthew Grounds	[33] [34] [37]
11	Marek Grzes	[42] [43] [45]
12	Zahia Guessoum	[46]
13	Jochen Heinsohn	[1] [2]
14	Haym Hirsh	[3] [5] [6] [7]
15	Spiros Kapetanakis	[11] [12] [16] [20] [21]
16	Dimitar Kazakov	[10] [14] [18] [23] [25]
17	Chris Kimble	[17] [22] [28] [29]
18	Zoë P. Lock	[24]
19	Bernhard Nebel	[1] [2]
20	Ann Nowé	[46]
21	Hans-Jürgen Profitlich	[1] [2]
22	Enda Ridge	[18] [25] [27] [30] [31] [32] [38]
23	Arturo Servin	[35] [39] [44]
24	Malcolm J. A. Strens	[11] [15] [21]
25	I-Hsien Ting	[17] [22] [28] [29]
26	Karl Tuyls	[46]
27	Thomas Walker	[15]
28	Peter Wright	[28]

Colors in the list of coauthors