Ann Nowé

According to our database1, Ann Nowé authored at least 238 papers between 1989 and 2020.

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2020
Toll-based reinforcement learning for efficient equilibria in route choice.
Knowl. Eng. Rev., 2020

A utility-based analysis of equilibria in multi-objective normal-form games.
Knowl. Eng. Rev., 2020

Deep reinforcement learning for large-scale epidemic control.
CoRR, 2020

An interpretable semi-supervised classifier using two different strategies for amended self-labeling.
CoRR, 2020

Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping.
CoRR, 2020

Multi-objective multi-agent decision making: a utility-based analysis and survey.
Auton. Agents Multi Agent Syst., 2020

Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems.
Proceedings of the Optimization and Learning - Third International Conference, 2020

An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Fleet Control Using Coregionalized Gaussian Process Policy Iteration.
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

Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Thompson Sampling for Factored Multi-Agent Bandits.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Accelerating Interactive Reinforcement Learning by Human Advice for an Assembly Task by a Cobot.
Robotics, 2019

Action learning and grounding in simulated human-robot interactions.
Knowl. Eng. Rev., 2019

Transfer Learning Across Simulated Robots With Different Sensors.
CoRR, 2019

Fleetwide data-enabled reliability improvement of wind turbines.
CoRR, 2019

The Actor-Advisor: Policy Gradient With Off-Policy Advice.
CoRR, 2019

GUARDIAML: Machine Learning-Assisted Dynamic Information Flow Control.
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Synaptic Learning of Long-Term Cognitive Networks with Inputs.
Proceedings of the International Joint Conference on Neural Networks, 2019

Bayesian Anytime m-top Exploration.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Per-Decision Option Discounting.
Proceedings of the 36th International Conference on Machine Learning, 2019

Dynamic Weights in Multi-Objective Deep Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

A Multi-objective Reinforcement Learning Algorithm for JSSP.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Deep hybrid approach for 3D plane segmentation.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Failure Avoidance for Wind Turbines through Fleetwide Control.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

A Motorized Wheelchair that Learns to Make its Way through a Crowd.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

DuStt - A Speech-to-Text Engine for Dutch.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Training a Speech-to-Text Model for Dutch on the Corpus Gesproken Nederlands.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Privacy Preserving Reinforcement Learning over Distributed Datasets.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Thompson Sampling for m-top Exploration.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Towards a Phylogenetic Measure to Quantify HIV Incidence.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Improving Zero-Intelligence Plus for Call Markets.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

A Virtual Maze Game to Explain Reinforcement Learning.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018
ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses.
Sensors, 2018

Modelling incomplete information in Boolean games using possibilistic logic.
Int. J. Approx. Reason., 2018

A New Method For Personnel Selection Based On Ranking Aggregation Using A Reinforcement Learning Approach.
Computación y Sistemas, 2018

Directed Policy Gradient for Safe Reinforcement Learning with Human Advice.
CoRR, 2018

Intelligent Electric Water Heater Control with Varying State Information.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A Reinforcement Learning Approach for the Report Scheduling Process Under Multiple Constraints.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018

IPC-Net: 3D Point-Cloud Segmentation Using Deep Inter-Point Convolutional Layers.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems.
Proceedings of the 35th International Conference on Machine Learning, 2018

Deep Multi-agent Reinforcement Learning in a Homogeneous Open Population.
Proceedings of the Artificial Intelligence - 30th Benelux Conference, 2018

Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

A Solution for the Team Selection Problem Using ACO.
Proceedings of the Swarm Intelligence - 11th International Conference, 2018

Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning With Options That Terminate Off-Policy.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Socio-cognitively inspired ant colony optimization.
J. Comput. Sci., 2017

Multi-objectivization and ensembles of shapings in reinforcement learning.
Neurocomputing, 2017

Discovering knowledge from data clustering using automatically-defined interval type-2 fuzzy predicates.
Expert Syst. Appl., 2017

Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets.
CoRR, 2017

PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context.
Bioinform., 2017

Exact and heuristic methods for solving Boolean games.
Auton. Agents Multi Agent Syst., 2017

An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design.
Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017

Clustering methodology for smart metering data based on local and global features.
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

Analysing Congestion Problems in Multi-agent Reinforcement Learning.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits.
Proceedings of the Autonomous Agents and Multiagent Systems, 2017

Interactive Thompson Sampling for Multi-objective Multi-armed Bandits.
Proceedings of the Algorithmic Decision Theory - 5th International Conference, 2017

Coordinating Human and Agent Behavior in Collective-Risk Scenarios.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Solving stable matching problems using answer set programming.
Theory Pract. Log. Program., 2016

Predicting Seat-Off and Detecting Start-of-Assistance Events for Assisting Sit-to-Stand With an Exoskeleton.
IEEE Robotics Autom. Lett., 2016

A reinforcement learning approach to coordinate exploration with limited communication in continuous action games.
Knowl. Eng. Rev., 2016

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

An adaptive rule-based classifier for mining big biological data.
Expert Syst. Appl., 2016

Personnel Selection in a Competitive Environment.
Computación y Sistemas, 2016

A Gentle Introduction to Reinforcement Learning.
Proceedings of the Scalable Uncertainty Management - 10th International Conference, 2016

Analysing the Impact of Storage and Load Shifting on Grey Energy Demand Reduction.
Proceedings of the Smart Cities, Green Technologies, and Intelligent Transport Systems, 2016

Integration of Load Shifting and Storage to Reduce Gray Energy Demand.
Proceedings of the SMARTGREENS 2016, 2016

Poster: Comparative study of EM-MAC and TSCH/orchestra for IoT.
Proceedings of the Symposium on Communications and Vehicular Technologies, 2016

Smart Grid Demonstration Platform for Renewable Energy Exchange.
Proceedings of the Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection, 2016

Combining Occupancy User Profiles in a Multi-user Environment: An Academic Office Case Study.
Proceedings of the 12th International Conference on Intelligent Environments, 2016

Towards a White Box Approach to Automated Algorithm Design.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Enhancing Particle Swarm Optimization with Socio-cognitive Inspirations.
Proceedings of the International Conference on Computational Science 2016, 2016

Measuring Diversity of Socio-Cognitively Inspired ACO Search.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Formalizing Commitment-Based Deals in Boolean Games.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Case study: An analysis of accidental complexity in a state-of-the-art hyper-heuristic for HyFlex.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

On the upper bound for the time to rendezvous in multi-hop cognitive radio networks.
Proceedings of the 21st IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, 2016

2015
A Reinforcement Learning Approach for Interdomain Routing with Link Prices.
ACM Trans. Auton. Adapt. Syst., 2015

Off-Policy Reward Shaping with Ensembles.
CoRR, 2015

Schedule-based multi-channel communication in wireless sensor networks: A complete design and performance evaluation.
Ad Hoc Networks, 2015

A Policy Gradient with Parameter-Based Exploration Approach for Zone-Heating.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Departure MANagement with a Reinforcement Learning Approach: Respecting CFMU Slots.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Reinforcement Learning from Demonstration through Shaping.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Online Distributed Voltage Control of an offshore MTdc network using reinforcement learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Risk-sensitivity through multi-objective reinforcement learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A benchmark set extension and comparative study for the HyFlex framework.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Shaping Mario with Human Advice.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Multi-Scale Reward Shaping via an Off-Policy Ensemble.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Policy Transfer using Reward Shaping.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Expressing Arbitrary Reward Functions as Potential-Based Advice.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Multi-objective reinforcement learning using sets of pareto dominating policies.
J. Mach. Learn. Res., 2014

Turbo codes for multi-hop wireless sensor networks with decode-and-forward mechanism.
EURASIP J. Wirel. Commun. Netw., 2014

A decentralized approach for convention emergence in multi-agent systems.
Auton. Agents Multi Agent Syst., 2014

NRG-X-Change - A Novel Mechanism for Trading of Renewable Energy in Smart Grids.
Proceedings of the SMARTGREENS 2014, 2014

Using Answer Set Programming for Solving Boolean Games.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

Possibilistic Boolean Games: Strategic Reasoning under Incomplete Information.
Proceedings of the Logics in Artificial Intelligence - 14th European Conference, 2014

Multi-objective χ-Armed bandits.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Scalarization based Pareto optimal set of arms identification algorithms.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

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

Decentralized Computation of Pareto Optimal Pure Nash Equilibria of Boolean Games with Privacy Concerns .
Proceedings of the ICAART 2014, 2014

Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Supervised Neural Network Structure Recovery.
Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014

Off-Policy Shaping Ensembles in Reinforcement Learning.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Using Ensemble Techniques and Multi-Objectivization to Solve Reinforcement Learning Problems.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Designing reusable metaheuristic methods: A semi-automated approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Adaptive objective selection for correlated objectives in multi-objective reinforcement learning.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Pareto Upper Confidence Bounds algorithms: An empirical study.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

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

Reinforcement Learning on Multiple Correlated Signals.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Batch effect removal methods for microarray gene expression data integration: a survey.
Briefings Bioinform., 2013

Modeling Stable Matching Problems with Answer Set Programming.
Proceedings of the Theory, Practice, and Applications of Rules on the Web, 2013

Networks as a tool to save energy while keeping up general user comfort in buildings.
Proceedings of the 19th IEEE Workshop on Local & Metropolitan Area Networks, 2013

Designing multi-objective multi-armed bandits algorithms: A study.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

On the Behaviour of Scalarization Methods for the Engagement of a Wet Clutch.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Reinforcement Learning for Multi-purpose Schedules.
Proceedings of the ICAART 2013, 2013

Local search and restart strategies for satisfiability solving in fuzzy logics.
Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2013

Solving satisfiability in fuzzy logics by mixing CMA-ES.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Hypervolume-Based Multi-Objective Reinforcement Learning.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Meta-Evolutionary Algorithms and recombination operators for satisfiability solving in fuzzy logics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Model-free learning of wire winding control.
Proceedings of the 9th Asian Control Conference, 2013

Scalarized multi-objective reinforcement learning: Novel design techniques.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012
A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Hierarchical routing and traffic grooming in IP/MPLS-based ASON/GMPLS multi-domain networks.
Photonic Netw. Commun., 2012

GA(M)E-QSAR: A Novel, Fully Automatic Genetic-Algorithm-(Meta)-Ensembles Approach for Binary Classification in Ligand-Based Drug Design.
J. Chem. Inf. Model., 2012

A Mutual Algorithm for Optimizing Distributed Source Coding in Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2012

Decentralised reinforcement learning for energy-efficient scheduling in wireless sensor networks.
Int. J. Commun. Networks Distributed Syst., 2012

Optimization of common pool resource sharing in multidomain IP-over-WDM networks.
Comput. Commun., 2012

Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages.
BMC Bioinform., 2012

Network-wide synchronization in Wireless Sensor Networks.
Proceedings of the 19th IEEE Symposium on Communications and Vehicular Technology in the Benelux, 2012

Insights on Social Recommender Systems.
Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, 2012

Improving wet clutch engagement with reinforcement learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Local linear spectral unmixing via cluster analysis and non-negative matrix factorization for hyperspectral (CHRIS/PROBA) imagery.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Cross layer routing in optical IP/WDM multi-domain networks.
Proceedings of the 4th International Congress on Ultra Modern Telecommunications and Control Systems, 2012

An RL approach to common-interest continuous action games.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Learning Conflicts from Experience.
Proceedings of the Multiagent Pathfinding, Papers from the 2012 AAAI Workshop, 2012

Improving Convergence of CMA-ES Through Structure-Driven Discrete Recombination.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Game Theory and Multi-agent Reinforcement Learning.
Proceedings of the Reinforcement Learning, 2012

2011
Logical topology design for IP rerouting: ASONs versus static OTNs.
Photonic Netw. Commun., 2011

Integrated routing in GMPLS-based IP/WDM networks.
Photonic Netw. Commun., 2011

Molecular dynamics and docking simulations as a proof of high flexibility in <i>E. coli</i> FabH and its relevance for accurate inhibitor modeling.
J. Comput. Aided Mol. Des., 2011

inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO.
Bioinform., 2011

Routing and signaling in GMPLS based DWDM multi domain multilayer networks using IP/WDM router.
Proceedings of the 8th International Conference on Wireless and Optical Communications Networks, 2011

Parallel Concatenation vs. Serial Concatenation Turbo Codes for Wireless Sensor Networks.
Proceedings of the 18th IEEE Symposium on Communications and Vehicular Technology in the Benelux, 2011

A Reinforcement Learning Approach for the Flexible Job Shop Scheduling Problem.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Learning a pricing strategy in multi-domain DWDM networks.
Proceedings of the 18th IEEE Workshop on Local & Metropolitan Area Networks, 2011

Routing and traffic grooming in multi-domain optical networks.
Proceedings of the 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2011

Transfer Learning for Multi-agent Coordination.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 2, 2011

Continuous Action Reinforcement Learning Automata - Performance and Convergence.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 2, 2011

Reinforcement Learning for Self-organizing Wake-Up Scheduling in Wireless Sensor Networks.
Proceedings of the Agents and Artificial Intelligence - Third International Conference, 2011

Self-organizing Synchronicity and Desynchronicity using Reinforcement Learning.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 2, 2011

Adaptive State Representations for Multi-agent Reinforcement Learning.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 2, 2011

Local Coordination in Online Distributed Constraint Optimization Problems.
Proceedings of the Multi-Agent Systems - 9th European Workshop, 2011

Distributed cooperation in wireless sensor networks.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Solving Sparse Delayed Coordination Problems in Multi-Agent Reinforcement Learning.
Proceedings of the Adaptive and Learning Agents - International Workshop, 2011

Solving delayed coordination problems in MAS.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010
Multi-Agent Systems and Large State Spaces.
Proceedings of the Agent and Multi-agent Technology for Internet and Enterprise Systems, 2010

Analyzing the dynamics of stigmergetic interactions through pheromone games.
Theor. Comput. Sci., 2010

Service differentiation in IP/MPLS over ASON/GMPLS networks.
Photonic Netw. Commun., 2010

Generalized learning automata for multi-agent reinforcement learning.
AI Commun., 2010

Learning to coordinate in complex networks.
Adapt. Behav., 2010

Lifetime optimization for wireless sensor networks with correlated data gathering.
Proceedings of the 8th International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt 2010), May 31, 2010

Demonstrating principal component aggregation for distributed spatial pattern recognition.
Proceedings of the 9th International Conference on Information Processing in Sensor Networks, 2010

Distributed regression for high-level feature extraction in wireless sensor networks.
Proceedings of the Seventh International Conference on Networked Sensing Systems, 2010

Lifetime optimization for sensor networks with correlated data gathering.
Proceedings of the Seventh International Conference on Networked Sensing Systems, 2010

A New Geometrical BSS Approach for Non Negative Sources.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Sequential Application of Feature Selection and Extraction for Predicting Breast Cancer Aggressiveness.
Proceedings of the Computational Systems-Biology and Bioinformatics, 2010

Taking turns in general sum Markov games.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

Learning multi-agent state space representations.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009
Stochastic Simulation of the Chemoton.
Artif. Life, 2009

Validation of Merging Techniques for Cancer Microarray Data Sets.
Aust. J. Intell. Inf. Process. Syst., 2009

Multi-colony ACO and Rough Set Theory to Distributed Feature Selection Problem.
Proceedings of the Distributed Computing, 2009

Maximum flow based Routing and Wavelength Assignment in all-optical networks.
Proceedings of the International Conference on Ultra Modern Telecommunications, 2009

Power Aware Fulfilment of Latency Requirements by Exploiting Heterogeneity in Wireless Sensor and Actuator Networks.
Proceedings of the 12th Euromicro Conference on Digital System Design, 2009

Software Tools and Methods for Research and Education in Optical Networks.
Proceedings of the Towards Digital Optical Networks, COST Action 291 Final Report, 2009

Multi-layer Traffic Engineering (MTE) in Grooming Enabled ASON/GMPLS Networks.
Proceedings of the Towards Digital Optical Networks, COST Action 291 Final Report, 2009

The coevolution of loyalty and cooperation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Decentralized Learning in Wireless Sensor Networks.
Proceedings of the Adaptive and Learning Agents, Second Workshop, 2009

2008
Introduction to Game Theory.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

Decentralized Learning in Markov Games.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Two Step Swarm Intelligence to Solve the Feature Selection Problem.
J. Univers. Comput. Sci., 2008

Enabling high availability over multiple optical networks.
IEEE Commun. Mag., 2008

Comparing Distance Measures with Visual Methods.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Coordinated Exploration in Conflicting Multi-stage Games.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

A Learning Automata Approach to Multi-agent Policy Gradient Learning.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Using Generalized Learning Automata for State Space Aggregation in MAS.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Speeding-Up ACO Implementation by Decreasing the Number of Heuristic Function Evaluations in Feature Selection Problem.
Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, 2008

Multilayer traffic engineering and DiffServ in the next generation internet.
Proceedings of the Third International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2008), 2008

Adaptive multilayer routing in the next generation GMPLS Internet.
Proceedings of the Third International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2008), 2008

An Efficient Distributed Self-Organizing Routing Algorithm for Wireless Sensor Networks.
Proceedings of the Second International Conference on Complex, 2008

2007
Exploring selfish reinforcement learning in repeated games with stochastic rewards.
Auton. Agents Multi Agent Syst., 2007

Multilayer Quality and Grade of Service Support for High Speed GMPLS IP/DWDM Networks.
Proceedings of the Network-Based Information Systems, First International Conference, 2007

QoS in GMPLS based IP/DWDM Metro Networks.
Proceedings of the 15th IEEE Workshop on Local & Metropolitan Area Networks, 2007

Optimal Convergence in Multi-Agent MDPs.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Two-Stage Ant Colony Optimization for Solving the Traveling Salesman Problem.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

Two-Step Particle Swarm Optimization to Solve the Feature Selection Problem.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Two-Stage ACO to Solve the Job Shop Scheduling Problem.
Proceedings of the Progress in Pattern Recognition, 2007

Networks of Learning Automata and Limiting Games.
Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007

Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrap.
Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007

Bee Behaviour in Multi-agent Systems.
Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007

2006
A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality.
Proceedings of the 8th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2006), 2006

Knowledge Discovery and Emergent Complexity in Bioinformatics.
Proceedings of the Knowledge Discovery and Emergent Complexity in Bioinformatics, 2006

Analyzing Stigmergetic Algorithms Through Automata Games.
Proceedings of the Knowledge Discovery and Emergent Complexity in Bioinformatics, 2006

Two Step Ant Colony System to Solve the Feature Selection Problem.
Proceedings of the Progress in Pattern Recognition, 2006

Using Pheromone Repulsion to Find Disjoint Paths.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

2005
Evolutionary game theory and multi-agent reinforcement learning.
Knowl. Eng. Rev., 2005

Multi-type ACO for Light Path Protection.
Proceedings of the Learning and Adaption in Multi-Agent Systems, 2005

Learning Automata as a Basis for Multi Agent Reinforcement Learning.
Proceedings of the Learning and Adaption in Multi-Agent Systems, 2005

A model based on ant colony system and rough set theory to feature selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

High-density wireless sensor networks: a new clustering approach for prediction-based monitoring.
Proceedings of the Wireless Sensor Networks, Second European Workshop, 2005

Linear genetic programming using a compressed genotype representation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Compressed Linear Genetic Programming: empirical parameter study on the Even-n-parity problem.
Proceedings of the BNAIC 2005, 2005

Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games.
Proceedings of the Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning, 2005

2004
An Evolutionary Game Theoretic Perspective on Learning in Multi-Agent Systems.
Synth., 2004

Adaptive load balancing of parallel applications with multi-agent reinforcement learning on heterogeneous systems.
Sci. Program., 2004

Multi-type Ant Colony: The Edge Disjoint Paths Problem.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004

Multi-Agent Learning in Conflicting Multi-Level Games with Incomplete Information.
Proceedings of the Artificial Multiagent Learning, 2004

2003
Efficient Protection in MPλS Networks Using Backup Trees: Part Two - Simulations.
Photonic Netw. Commun., 2003

Efficient Protection in MPλS Networks Using Backup Trees: Part One - Concepts and Heuristics.
Photonic Netw. Commun., 2003

Efficient Usage of Capacity Resources in Survivable MP lambda S Networks.
Proceedings of the Quality of Service in Multiservice IP Networks, 2003

Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems.
Proceedings of the Machine Learning: ECML 2003, 2003

2002
Colonies of learning automata.
IEEE Trans. Syst. Man Cybern. Part B, 2002

Homo Egualis Reinforcement Learning Agents for Load Balancing.
Proceedings of the Innovative Concepts for Agent-Based Systems, 2002

Evolving Compression Preprocessors With Genetic Programming.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Learning to Reach the Pareto Optimal Nash Equilibrium as a Team.
Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001
Social Agents Playing a Periodical Policy.
Proceedings of the Machine Learning: EMCL 2001, 2001

1999
Formalizing the Ant Algorithms in Terms of Reinforcement Learning.
Proceedings of the Advances in Artificial Life, 5th European Conference, 1999

1998
Q-learning for adaptive load based routing.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1993
A Reinforcement Learning Algorithm based on "Safety".
Proceedings of the Fuzzy Logic in Artificial Intelligence, 1993

1992
A self-tuning robust fuzzy controller.
Microprocess. Microprogramming, 1992

1989
An environment for knowledge based transformational implementation.
Proceedings of the Second International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, IEA/AIE 1989, June 6-9, 1989, Tullahoma, TN, USA, 1989


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