Q-learning for adaptive load based routing. - Ann Nowé; Kris Steenhaut; Mohamed Fakir; Katja Verbeeck (SMC, 1998)

Formalizing the Ant Algorithms in Terms of Reinforcement Learning. - Ann Nowé; Katja Verbeeck (ECAL, 1999)

Factorisation of OMT Models. - Viviane Jonckers; Bruno Van Damme; Katja Verbeeck (ICEIS, 1999)

Social Agents Playing a Periodical Policy. - Ann Nowé; Johan Parent; Katja Verbeeck (ECML, 2001)

Learning to Reach the Pareto Optimal Nash Equilibrium as a Team. - Katja Verbeeck; Ann Nowé; Tom Lenaerts; Johan Parent (Australian Joint Conference on Artificial Intelligence, 2002)

Homo Egualis Reinforcement Learning Agents for Load Balancing. - Katja Verbeeck; Johan Parent; Ann Nowé (WRAC, 2002)

Colonies of learning automata. - Katja Verbeeck; Ann Nowé (IEEE Trans. Syst. Man Cybern. Part B, 2002)

A selection-mutation model for q-learning in multi-agent systems. - Karl Tuyls; Katja Verbeeck; Tom Lenaerts (AAMAS, 2003)

On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor. - Karl Tuyls; Katja Verbeeck; Sam Maes (CEEMAS, 2003)

Multi-Agent Learning in Conflicting Multi-Level Games with Incomplete Information. - Maarten Peeters; Katja Verbeeck; Ann Nowé (AAAI Technical Report (2), 2004)

Multi-type Ant Colony: The Edge Disjoint Paths Problem. - Ann Nowé; Katja Verbeeck; Peter Vrancx (ANTS Workshop, 2004)

Adaptive load balancing of parallel applications with multi-agent reinforcement learning on heterogeneous systems. - Johan Parent; Katja Verbeeck; Jan Lemeire; Ann Nowé; Kris Steenhaut; Erik F. Dirkx (Sci. Program., 2004)

Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games. - Katja Verbeeck; Ann Nowé; Maarten Peeters; Karl Tuyls (Adaptive Agents and Multi-Agent Systems, 2005)

Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing. - Katja Verbeeck; Ann Nowé; Karl Tuyls (AAMAS, 2005)

Learning Automata as a Basis for Multi Agent Reinforcement Learning. - Ann Nowé; Katja Verbeeck; Maarten Peeters (EUMAS, 2006)

Analyzing Stigmergetic Algorithms Through Automata Games. - Peter Vrancx; Katja Verbeeck; Ann Nowé (KDECB, 2006)

Priority Awareness: Towards a Computational Model of Human Fairness for Multi-agent Systems. - Steven de Jong; Karl Tuyls; Katja Verbeeck; Nico Roos (Adaptive Agents and Multi-Agents Systems, 2007)

Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrap. - Maarten Peeters; Katja Verbeeck; Ann Nowé (Adaptive Agents and Multi-Agents Systems, 2007)

Networks of Learning Automata and Limiting Games. - Peter Vrancx; Katja Verbeeck; Ann Nowé (Adaptive Agents and Multi-Agents Systems, 2007)

Multi-agent Learning Dynamics: A Survey. - H. Jaap van den Herik; Daniel Hennes; Michael Kaisers; Karl Tuyls; Katja Verbeeck (CIA, 2007)

Optimal Convergence in Multi-Agent MDPs. - Peter Vrancx; Katja Verbeeck; Ann Nowé (KES (3), 2007)

Exploring selfish reinforcement learning in repeated games with stochastic rewards. - Katja Verbeeck; Ann Nowé; Johan Parent; Karl Tuyls (Auton. Agents Multi Agent Syst., 2007)

Artificial agents learning human fairness. - Steven de Jong; Karl Tuyls; Katja Verbeeck (AAMAS (2), 2008)

Dynamic scheduling of multi-media streams in home automation systems. - Koen Vangheluwe; Wouter Souffriau; Katja Verbeeck; Patrick De Causmaecker (AAMAS (Demos), 2008)

A Learning Automata Approach to Multi-agent Policy Gradient Learning. - Maarten Peeters; Ville Könönen; Katja Verbeeck; Ann Nowé (KES (2), 2008)

Coordinated Exploration in Conflicting Multi-stage Games. - Maarten Peeters; Ville Könönen; Katja Verbeeck; Sven Van Segbroeck; Ann Nowé (KES (2), 2008)

Fairness in multi-agent systems. - Steven de Jong; Karl Tuyls; Katja Verbeeck (Knowl. Eng. Rev., 2008)

Decentralized Learning in Markov Games. - Peter Vrancx; Katja Verbeeck; Ann Nowé (IEEE Trans. Syst. Man Cybern. Part B, 2008)

A sensor middleware and agent-based communication platform for supply-chain management. - Klaas Thoelen; Sam Michiels; Wouter Joosen; Koen Vangheluwe; Katja Verbeeck (AAMAS (2), 2009)

Taking turns in general sum Markov games. - Peter Vrancx; Katja Verbeeck; Ann Nowé (AAMAS, 2010)

A game theoretic approach to decentralized multi-project scheduling. - Tony Wauters; Katja Verbeeck; Greet Vanden Berghe; Patrick De Causmaecker (AAMAS, 2010)

Hyper-heuristics with a dynamic heuristic set for the home care scheduling problem. - Mustafa Misir; Katja Verbeeck; Patrick De Causmaecker; Greet Vanden Berghe (IEEE Congress on Evolutionary Computation, 2010)

Analyzing the dynamics of stigmergetic interactions through pheromone games. - Peter Vrancx; Katja Verbeeck; Ann Nowé (Theor. Comput. Sci., 2010)

Learning agents for the multi-mode project scheduling problem. - Tony Wauters; Katja Verbeeck; Greet Vanden Berghe; Patrick De Causmaecker (J. Oper. Res. Soc., 2011)

An Intelligent Hyper-Heuristic Framework for CHeSC 2011. - Mustafa Misir; Katja Verbeeck; Patrick De Causmaecker; Greet Vanden Berghe (LION, 2012)

Fast Permutation Learning. - Tony Wauters; Katja Verbeeck; Patrick De Causmaecker; Greet Vanden Berghe (LION, 2012)

The Effect of the Set of Low-Level Heuristics on the Performance of Selection Hyper-heuristics. - Mustafa Misir; Katja Verbeeck; Patrick De Causmaecker; Greet Vanden Berghe (PPSN (2), 2012)

Real-world production scheduling for the food industry: An integrated approach. - Tony Wauters; Katja Verbeeck; Paul Verstraete; Greet Vanden Berghe; Patrick De Causmaecker (Eng. Appl. Artif. Intell., 2012)

Tour Suggestion for Outdoor Activities. - Joris Maervoet; Pascal Brackman; Katja Verbeeck; Patrick De Causmaecker; Greet Vanden Berghe (W2GIS, 2013)

An investigation on the generality level of selection hyper-heuristics under different empirical conditions. - Mustafa Misir; Katja Verbeeck; Patrick De Causmaecker; Greet Vanden Berghe (Appl. Soft Comput., 2013)

A new hyper-heuristic as a general problem solver: an implementation in HyFlex. - Mustafa Misir; Katja Verbeeck; Patrick De Causmaecker; Greet Vanden Berghe (J. Sched., 2013)

Boosting Metaheuristic Search Using Reinforcement Learning. - Tony Wauters; Katja Verbeeck; Patrick De Causmaecker; Greet Vanden Berghe (Hybrid Metaheuristics, 2013)

A learning-based optimization approach to multi-project scheduling. - Tony Wauters; Katja Verbeeck; Patrick De Causmaecker; Greet Vanden Berghe (J. Sched., 2015)