| 2025 | MODELS | Streamlined Integration of GR(1) Synthesis and Reinforcement Learning for Optimizing Critical Cyber-Physical Systems. | Eric Wete, Joel Greenyer, Tom Yaacov, Daniel Kudenko, Wolfgang Nejdl |
| 2024 | CIKM | Effectively Capturing Label Correlation for Tabular Multi-Label Classification. | Sajjad Kamali Siahroudi, Zahra Ahmadi, Daniel Kudenko |
| 2024 | ECAI | Entity Matching Across Small Networks Using Node Attributes. | Zahra Ahmadi, Zijian Zhang, Hoang H. Nguyen, Sergio Burdisso, Srikanth R. Madikeri, Petr Motlcek, Erin Dikici, Gerhard Backfried, Marek Kovc, Kvetoslav Mal, Daniel Kudenko |
| 2023 | ETFA | MDE and Learning for flexible Planning and optimized Execution of Multi-Robot Choreographies. | Eric Wete, Joel Greenyer, Andreas Wortmann, Daniel Kudenko, Wolfgang Nejdl |
| 2023 | ICONIP | Partial Multi-label Learning via Constraint Clustering. | Sajjad Kamali Siahroudi, Daniel Kudenko |
| 2022 | FDG | Imitating Playstyle with Dynamic Time Warping Imitation. | Mark Ferguson, Sam Devlin, Daniel Kudenko, James Alfred Walker |
| 2022 | MODELS | A tool for the automation of efficient multi-robot choreography planning and execution. | Eric Wete, Joel Greenyer, Daniel Kudenko, Wolfgang Nejdl, Oliver Flegel, Dennes Eisner |
| 2021 | ICAART | Reinforcement Learning with Quantitative Verification for Assured Multi-Agent Policies. | Joshua Riley, Radu Calinescu, Colin Paterson, Daniel Kudenko, Alec Banks |
| 2021 | ICAART | Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic Systems. | Joshua Riley, Radu Calinescu, Colin Paterson, Daniel Kudenko, Alec Banks |
| 2021 | KES | Utilising Assured Multi-Agent Reinforcement Learning within Safety-Critical Scenarios. | Joshua Riley, Radu Calinescu, Colin Paterson, Daniel Kudenko, Alec Banks |
| 2021 | PAKDD | An Online Learning Algorithm for Non-stationary Imbalanced Data by Extra-Charging Minority Class. | Sajjad Kamali Siahroudi, Daniel Kudenko |
| 2020 | ECAI | Uniform State Abstraction for Reinforcement Learning. | John Burden, Daniel Kudenko |
| 2020 | FDG | Player Style Clustering without Game Variables. | Mark Ferguson, Sam Devlin, Daniel Kudenko, James Alfred Walker |
| 2019 | CIKM | Generating Stereotypes Automatically For Complex Categorical Features. | Nourah A. ALRossais, Daniel Kudenko |
| 2019 | Persuasive | Reinforcement Learning for Dialogue Game Based Argumentation. | Sultan Alahmari, Tommy Yuan, Daniel Kudenko |
| 2019 | Persuasive | Reinforcement Learning of Dialogue Coherence and Relevance. | Sultan Alahmari, Tommy Yuan, Daniel Kudenko |
| 2019 | Redundancy | MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning. | Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman |
| 2018 | AAAI | Automated Refactoring of Object-Oriented Code Using Clustering Ensembles. | Timofey Bryksin, Alexey Shpilman, Daniel Kudenko |
| 2018 | ICARCV | Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data. | Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman |
| 2018 | ICARCV | Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation. | Ivan Sosin, Daniel Kudenko, Aleksei Shpilman |
| 2018 | ICMLA | A Comparative Evaluation of Machine Learning Methods for Robot Navigation Through Human Crowds. | Anastasia Gaydashenko, Daniel Kudenko, Aleksei Shpilman |
| 2018 | IJCCI | Applying Cartesian Genetic Programming to Evolve Rules for Intrusion Detection System. | Hasanen Alyasiri, John A. Clark, Daniel Kudenko |
| 2018 | RecSys | Evaluating Stereotype and Non-Stereotype Recommender Systems. | Nourah A. ALRossais, Daniel Kudenko |
| 2017 | ICAART | Distribution Data Across Multiple Cloud Storage using Reinforcement Learning Method. | Abdullah Fayez H. Algarni, Daniel Kudenko |
| 2017 | ICAART | Assured Reinforcement Learning with Formally Verified Abstract Policies. | George Mason, Radu Calinescu, Daniel Kudenko, Alec Banks |
| 2017 | ICAIL | Reinforcement Learning for Argumentation: Describing a PhD Research. | Sultan Alahmari, Tommy Yuan, Daniel Kudenko |
| 2017 | ICMLA | Deep Learning of Cell Classification Using Microscope Images of Intracellular Microtubule Networks. | Aleksei Shpilman, Dmitry Boikiy, Marina Polyakova, Daniel Kudenko, Anton Burakov, Elena Nadezhdina |
| 2014 | AAAI | Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence. | Tim Brys, Ann Now, Daniel Kudenko, Matthew E. Taylor |
| 2014 | ECAI | Coordinated Team Learning and Difference Rewards for Distributed Intrusion Response. | Kleanthis Malialis, Sam Devlin, Daniel Kudenko |
| 2014 | ECAI | Predicting Player Disengagement in Online Games. | Hanting Xie, Daniel Kudenko, Sam Devlin, Peter I. Cowling |
| 2014 | ICMLA | Improving Robustness of Gaussian Process-Based Inferential Control System Using Kernel Principle Component Analysis. | Ali Abusnina, Daniel Kudenko, Rolf Roth |
| 2014 | IJCNN | Multi-objectivization of reinforcement learning problems by reward shaping. | Tim Brys, Anna Harutyunyan, Peter Vrancx, Matthew E. Taylor, Daniel Kudenko, Ann Now |
| 2013 | IAAI | Multiagent Router Throttling: Decentralized Coordinated Response Against DDoS Attacks. | Kleanthis Malialis, Daniel Kudenko |
| 2012 | AAMAS | Dynamic potential-based reward shaping. | Sam Devlin, Daniel Kudenko |
| 2010 | FlAIRS | Character Education Using Pedagogical Agents and Socratic Voice. | Rania A. Hodhod, Daniel Kudenko, Paul A. Cairns |
| 2009 | AIED | Educational Narrative and Student Modeling for Ill-Defined Domains. | Rania A. Hodhod, Daniel Kudenko, Paul A. Cairns |
| 2009 | ICMLA | Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning. | Marek Grzes, Daniel Kudenko |
| 2009 | IVA | Duality of Actor and Character Goals in Virtual Drama. | Mara Arinbjarnar, Daniel Kudenko |
| 2008 | AIMSA | Robustness Analysis of SARSA(lambda): Different Models of Reward and Initialisation. | Marek Grzes, Daniel Kudenko |
| 2008 | ECAI | Multi-Agent Reinforcement Learning for Intrusion Detection: A case study and evaluation. | Arturo Servin, Daniel Kudenko |
| 2008 | ICAISC | An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance. | Marek Grzes, Daniel Kudenko |
| 2008 | ICANN | Multigrid Reinforcement Learning with Reward Shaping. | Marek Grzes, Daniel Kudenko |
| 2008 | ICIDS | Schemas in Directed Emergent Drama. | Mara Arinbjarnar, Daniel Kudenko |
| 2008 | ICIDS | Generation of Dilemma-Based Narratives: Method and Turing Test Evaluation. | Heather Barber, Daniel Kudenko |
| 2007 | AAMAS | Parallel Reinforcement Learning with Linear Function Approximation. | Matthew Jon Grounds, Daniel Kudenko |
| 2007 | AAMAS | Combining Reinforcement Learning with Symbolic Planning. | Matthew Jon Grounds, Daniel Kudenko |
| 2007 | AAMAS | Multi-agent Reinforcement Learning for Intrusion Detection. | Arturo Servin, Daniel Kudenko |
| 2007 | GECCO | Analyzing heuristic performance with response surface models: prediction, optimization and robustness. | Enda Ridge, Daniel Kudenko |
| 2007 | GECCO | Screening the parameters affecting heuristic performance. | Enda Ridge, Daniel Kudenko |
| 2007 | ICALT | Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users. | I-Hsien Ting, Chris Kimble, Daniel Kudenko |
| 2007 | KES | APD-A Tool for Identifying Behavioural Patterns Automatically from Clickstream Data. | I-Hsien Ting, Lillian Clark, Chris Kimble, Daniel Kudenko, Peter C. Wright |
| 2006 | CEC | A Study of Concurrency in the Ant Colony System Algorithm. | Enda Ridge, Daniel Kudenko, Dimitar Kazakov |
| 2005 | AAMAS | Baselines for Joint-Action Reinforcement Learning of Coordination in Cooperative Multi-agent Systems. | Martin Carpenter, Daniel Kudenko |
| 2005 | AAMAS | Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-agent Systems. | Spiros Kapetanakis, Daniel Kudenko |
| 2005 | AAMAS | Learning to Coordinate Using Commitment Sequences in Cooperative Multi-agent Systems. | Spiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens |
| 2005 | APWEB | A Pattern Restore Method for Restoring Missing Patterns in Server Side Clickstream Data. | I-Hsien Ting, Chris Kimble, Daniel Kudenko |
| 2004 | ECAI | Algorithms for Distributed Exploration. | Thomas Walker, Daniel Kudenko, Malcolm J. A. Strens |
| 2003 | HCI | MIAU - Supporting Group Decisions in E-Commerce Applications. | Stephan Baldes, Mathias Bauer, Dietmar Dengler, Daniel Kudenko, Gabriele Paul, Thomas Rist, Christian Schmitt |
| 2002 | AAAI | Reinforcement Learning of Coordination in Cooperative Multi-Agent Systems. | Spiros Kapetanakis, Daniel Kudenko |
| 2002 | AAMAS | Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems. | Spiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens |
| 1998 | AAAI | Feature Generation for Sequence Categorization. | Daniel Kudenko, Haym Hirsh |
| 1997 | AAAI | Transferring and Retraining Learned Information Filters. | William W. Cohen, Daniel Kudenko |
| 1997 | AAAI | Representing Sequences in Description Logics. | Haym Hirsh, Daniel Kudenko |
| 1992 | AAAI | An Empirical Analysis of Terminological Representation Systems. | Jochen Heinsohn, Daniel Kudenko, Bernhard Nebel, Hans-Jrgen Profitlich |