Daniel Kudenko

Orcid: 0000-0003-3359-3255

According to our database1, Daniel Kudenko authored at least 145 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Sustainable broadcasting in Blockchain Network with Reinforcement Learning.
CoRR, 2024

How Real Is Real? A Human Evaluation Framework for Unrestricted Adversarial Examples.
CoRR, 2024

Reducing CO2 emissions in a peer-to-peer distributed payment network: Does geography matter in the lightning network?
Comput. Networks, 2024


Entity Matching Across Small Networks Using Node Attributes.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Effectively Capturing Label Correlation for Tabular Multi-Label Classification.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multi-Robot Motion and Task Planning in Automotive Production Using Controller-based Safe Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
An effective single-model learning for multi-label data.
Expert Syst. Appl., December, 2023

Inductive and transductive link prediction for criminal network analysis.
J. Comput. Sci., September, 2023

Partial Multi-label Learning via Constraint Clustering.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

MDE and Learning for flexible Planning and optimized Execution of Multi-Robot Choreographies.
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

Knowledge Graph Injection for Reinforcement Learning.
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2023) co-located with the 21th International Semantic Web Conference (ISWC 2023), 2023

2022
Data Valuation for Offline Reinforcement Learning.
CoRR, 2022

A tool for the automation of efficient multi-robot choreography planning and execution.
Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2022

Assured Multi-agent Reinforcement Learning with Robust Agent-Interaction Adaptability.
Proceedings of the Intelligent Decision Technologies, 2022

Imitating Playstyle with Dynamic Time Warping Imitation.
Proceedings of the FDG '22: Proceedings of the 17th International Conference on the Foundations of Digital Games, 2022

2021
Improving cold-start recommendations using item-based stereotypes.
User Model. User Adapt. Interact., 2021

An Online Learning Algorithm for Non-stationary Imbalanced Data by Extra-Charging Minority Class.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Utilising Assured Multi-Agent Reinforcement Learning within Safety-Critical Scenarios.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic Systems.
Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 2021

Reinforcement Learning with Quantitative Verification for Assured Multi-Agent Policies.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
Curriculum Learning with a Progression Function.
CoRR, 2020

Deep Reinforcement Learning with Graph-based State Representations.
CoRR, 2020

Predictive scheduling of wet flue gas desulfurization system based on reinforcement learning.
Comput. Chem. Eng., 2020

Automatic Similarity Detection in LEGO Ducks.
Proceedings of the Eleventh International Conference on Computational Creativity, 2020

Player Style Clustering without Game Variables.
Proceedings of the FDG '20: International Conference on the Foundations of Digital Games, 2020

Uniform State Abstraction for Reinforcement Learning.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Two-level Q-learning: learning from conflict demonstrations.
Knowl. Eng. Rev., 2019

Introspective Q-learning and learning from demonstration.
Knowl. Eng. Rev., 2019

Artificial Intelligence for Prosthetics - challenge solutions.
CoRR, 2019

Guest Editorial: Special Issue on Intelligent Robotics and Multi-Agent Systems.
Cybern. Syst., 2019

MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning.
Proceedings of the XVI International Symposium "Problems of Redundancy in Information and Control Systems", 2019

Reinforcement Learning of Dialogue Coherence and Relevance.
Proceedings of the 19th Workshop on Computational Models of Natural Argument co-located with the 14th International Conference on Persuasive Technology, 2019

Reinforcement Learning for Dialogue Game Based Argumentation.
Proceedings of the 19th Workshop on Computational Models of Natural Argument co-located with the 14th International Conference on Persuasive Technology, 2019

Generating Stereotypes Automatically For Complex Categorical Features.
Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, 2019

2018
Behavioural realism and the activation of aggressive concepts in violent video games.
Entertain. Comput., 2018

Deep Multi-Agent Reinforcement Learning with Relevance Graphs.
CoRR, 2018

No priming in video games.
Comput. Hum. Behav., 2018

iSynchronizer: A Tool for Extracting, Integration and Analysis of MovieLens and IMDb Datasets.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Evolutionary Computation Algorithms for Detecting Known and Unknown Attacks.
Proceedings of the Innovative Security Solutions for Information Technology and Communications, 2018

Evaluating Stereotype and Non-Stereotype Recommender Systems.
Proceedings of the Workshop on Knowledge-aware and Conversational Recommender Systems 2018 co-located with 12th ACM Conference on Recommender Systems, 2018

Applying Cartesian Genetic Programming to Evolve Rules for Intrusion Detection System.
Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018

A Comparative Evaluation of Machine Learning Methods for Robot Navigation Through Human Crowds.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation.
Proceedings of the 15th International Conference on Control, 2018

Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data.
Proceedings of the 15th International Conference on Control, 2018

Introspective Reinforcement Learning and Learning from Demonstration.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Automated Refactoring of Object-Oriented Code Using Clustering Ensembles.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Deep Learning of Cell Classification Using Microscope Images of Intracellular Microtubule Networks.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Reinforcement Learning for Argumentation: Describing a PhD Research.
Proceedings of the 17th Workshop on Computational Models of Natural Argument co-located with ICAIL 2017, 2017

Assured Reinforcement Learning with Formally Verified Abstract Policies.
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

Distribution Data Across Multiple Cloud Storage using Reinforcement Learning Method.
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

A Reinforcement Learning Based Workflow Application Scheduling Approach in Dynamic Cloud Environment.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

2016
Context-sensitive reward shaping for sparse interaction multi-agent systems.
Knowl. Eng. Rev., 2016

Overcoming incorrect knowledge in plan-based reward shaping.
Knowl. Eng. Rev., 2016

Plan-based reward shaping for multi-agent reinforcement learning.
Knowl. Eng. Rev., 2016

Potential-based reward shaping for finite horizon online POMDP planning.
Auton. Agents Multi Agent Syst., 2016

Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Distributed response to network intrusions using multiagent reinforcement learning.
Eng. Appl. Artif. Intell., 2015

Distributed reinforcement learning for adaptive and robust network intrusion response.
Connect. Sci., 2015

Predicting player disengagement and first purchase with event-frequency based data representation.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Higher Graphical Fidelity Decreases Players' Access to Aggressive Concepts in Violent Video Games.
Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, 2015

Knowledge Revision for Reinforcement Learning with Abstract MDPs.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Interview with Peter Stone and Matthew E. Taylor.
Künstliche Intell., 2014

Special Issue on Transfer Learning.
Künstliche Intell., 2014

A comparison of plan-based and abstract MDP reward shaping.
Connect. Sci., 2014

Gaussian Process-Based Inferential Control System.
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014

Multi-objectivization of reinforcement learning problems by reward shaping.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Phylogenetic Classification of the Video-Game Industry's Business Model Ecosystem.
Proceedings of the Collaborative Systems for Smart Networked Environments, 2014

Improving Robustness of Gaussian Process-Based Inferential Control System Using Kernel Principle Component Analysis.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Predicting Player Disengagement in Online Games.
Proceedings of the Computer Games - Third Workshop on Computer Games, 2014

Coordinated Team Learning and Difference Rewards for Distributed Intrusion Response.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Game intelligence.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

Knowledge revision for reinforcement learning with abstract MDPs.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Potential-based difference rewards for multiagent reinforcement learning.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Multiagent Router Throttling: Decentralized Coordinated Response Against DDoS Attacks.
Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013

Using plan-based reward shaping to learn strategies in StarCraft: Broodwar.
Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

Overcoming erroneous domain knowledge in plan-based reward shaping.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Potential-based reward shaping for POMDPs.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Dynamic potential-based reward shaping.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Actor Bots.
Proceedings of the Believable Bots, 2012

2011
Innovative Integrated Architecture for Educational Games: Challenges and Merits.
Trans. Edutainment, 2011

An Empirical Study of Potential-Based Reward Shaping and Advice in Complex, Multi-Agent Systems.
Adv. Complex Syst., 2011

Theoretical considerations of potential-based reward shaping for multi-agent systems.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Multi-agent, reward shaping for RoboCup KeepAway.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010
Online learning of shaping rewards in reinforcement learning.
Neural Networks, 2010

Automated Event Recognition for Football Commentary Generation.
Int. J. Gaming Comput. Mediat. Simulations, 2010

Adaptive Interactive Narrative Model to Teach Ethics.
Int. J. Gaming Comput. Mediat. Simulations, 2010

Character Education Using Pedagogical Agents and Socratic Voice.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Bayesian networks: Real-time applicable decision mechanisms for intelligent agents in interactive drama.
Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

PAC-MDP learning with knowledge-based admissible models.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

Tuning an Algorithm Using Design of Experiments.
Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

2009
Generation of Adaptive Dilemma-Based Interactive Narratives.
IEEE Trans. Comput. Intell. AI Games, 2009

Finding Unexpected Navigation Behaviour in Clickstream Data for Website Design Improvement.
J. Web Eng., 2009

Reinforcement Learning with Reward Shaping and Mixed Resolution Function Approximation.
Int. J. Agent Technol. Syst., 2009

Duality of Actor and Character Goals in Virtual Drama.
Proceedings of the Intelligent Virtual Agents, 9th International Conference, 2009

Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Improving Optimistic Exploration in Model-Free Reinforcement Learning.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Reinforcement Learning in RoboCup KeepAway with Partial Observability.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2009

Educational Narrative and Student Modeling for Ill-Defined Domains.
Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

Knowledge-Based Reinforcement Learning for Data Mining.
Proceedings of the Agents and Data Mining Interaction, 4th International Workshop, 2009

2008
Determining Whether a Problem Characteristic Affects Heuristic Performance.
Proceedings of the Recent Advances in Evolutionary Computation for Combinatorial Optimization, 2008

Generation of dilemma-based interactive narratives with a changeable story goal.
Proceedings of the 2nd International Conference on INtelligent TEchnologies for interactive enterTAINment, 2008

Generation of Dilemma-Based Narratives: Method and Turing Test Evaluation.
Proceedings of the Interactive Storytelling, 2008

Schemas in Directed Emergent Drama.
Proceedings of the Interactive Storytelling, 2008

Multigrid Reinforcement Learning with Reward Shaping.
Proceedings of the Artificial Neural Networks, 2008

An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

Multi-Agent Reinforcement Learning for Intrusion Detection: A case study and evaluation.
Proceedings of the ECAI 2008, 2008

Robustness Analysis of SARSA(lambda): Different Models of Reward and Initialisation.
Proceedings of the Artificial Intelligence: Methodology, 2008

2007
Adaptive Generation of Dilemma-based Interactive Narratives.
Proceedings of the Advanced Intelligent Paradigms in Computer Games, 2007

Special issue on Nature-inspired systems for parallel, asynchronous and decentralised environments.
Multiagent Grid Syst., 2007

Tuning the Performance of the MMAS Heuristic.
Proceedings of the Engineering Stochastic Local Search Algorithms. Designing, 2007

APD-A Tool for Identifying Behavioural Patterns Automatically from Clickstream Data.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Applying Web Usage Mining Techniques to Discover Potential Browsing Problems of Users.
Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007

Screening the parameters affecting heuristic performance.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Analyzing heuristic performance with response surface models: prediction, optimization and robustness.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

An Analysis of Problem Difficulty for a Class of Optimisation Heuristics.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2007

Dynamic Generation of Dilemma-based Interactive Narratives.
Proceedings of the Third Artificial Intelligence and Interactive Digital Entertainment Conference, 2007

Multi-agent Reinforcement Learning for Intrusion Detection.
Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007

Combining Reinforcement Learning with Symbolic Planning.
Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007

Parallel Reinforcement Learning with Linear Function Approximation.
Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007

2006
Combining ethnographic and clickstream data to identify user Web browsing strategies.
Inf. Res., 2006

A Study of Concurrency in the Ant Colony System Algorithm.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Interactions Between Stereotypes.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2006

2005
UBB Mining: Finding Unexpected Browsing Behaviour in Clickstream Data to Improve a Web Site's Design.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Moving Nature-Inspired Algorithms to Parallel, Asynchronous and Decentralised Environments.
Proceedings of the Self-Organization and Autonomic Informatics (I), 2005

A Pattern Restore Method for Restoring Missing Patterns in Server Side Clickstream Data.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

Learning to Coordinate Using Commitment Sequences in Cooperative Multi-agent Systems.
Proceedings of the Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning, 2005

Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-agent Systems.
Proceedings of the Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning, 2005

Baselines for Joint-Action Reinforcement Learning of Coordination in Cooperative Multi-agent Systems.
Proceedings of the Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning, 2005

2004
Algorithms for Distributed Exploration.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
Group Decision Making through Mediated Discussions.
Proceedings of the User Modeling 2003, 2003

MIAU - Supporting Group Decisions in E-Commerce Applications.
Proceedings of the Human-Computer Interaction: Universal Access in HCI: Inclusive Design in the Information Society, 2003

2002
Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems.
Proceedings of the Adaptive Agents and Multi-Agent Systems: Adaptation and Multi-Agent Learning, 2002

Reinforcement Learning of Coordination in Cooperative Multi-Agent Systems.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Learning in multi-agent systems.
Knowl. Eng. Rev., 2001

Sistemas Logicos de Multiples Agentes: Arquitectura e Implementacion en Simuladores de Conflictos.
Inteligencia Artif., 2001

Machine Learning and Inductive Logic Programming for Multi-agent Systems.
Proceedings of the Multi-Agent Systems and Applications, 2001

2000
Machine Learning for Logic-Based Multi-agent Systems.
Proceedings of the Formal Approaches to Agent-Based Systems, First International Workshop, 2000

1999
Feature-Based Learners for Description Logics.
Proceedings of the 1999 International Workshop on Description Logics (DL'99), Linköping, Sweden, July 30, 1999

1998
Feature Generation for Sequence Categorization.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
Representing Sequences in Description Logics.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

Transferring and Retraining Learned Information Filters.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996
Representing Sequences in Description Logics Using Suffix Trees.
Proceedings of the 1996 International Workshop on Description Logics, 1996

1994
An Empirical Analysis of Terminological Representation Systems.
Artif. Intell., 1994


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