Lara Verheyen, Procedural Semantics for Human-like Language Understanding in Situated Environments
Mathieu Reymond, On incorporating prior knowledge about the decision maker in multi-objective reinforcement learning
Hélène Plisnier, Guiding the Exploration Strategy of a Reinforcement Learning Agent
Jens Nevens, Representing and Learning Linguistic Structures on the Conceptual, Morpho-Syntactic and Semantic Level
Simon Marynissen, Advances in Justification Theory
Sabine van der Ham, Investigating Cognitive and Functional Biases for Learning Acoustic Categories
Roxana Rădulescu, Decision Making in Multi-Objective Multi-Agent Systems
Timothy Verstraeten, Multi-Agent Reinforcement Learning Approach to Wind Farm Control
Elias Fernández Domingos, Coordinating Human and Agent Behavior in Collective Risk Scenarios
Denis Steckelmacher, Model-Free Reinforcement Learning for Real-World Robots
Isel Grau, Self-labeling Grey-Box Model: An Interpretable Semi-Supervised Classifier
Pieter Libin, Guiding the mitigation of epidemics with reinforcement learning
Felipe Gomez Marulanda, Automated 3D geometry segmentations for Computational Fluid Dynamics applications
Steven Adriaensen, On the Semi-automated Design of Reusable Heuristics with applications to hard combinatorial optimization
Paul Van Eecke, Generalisation and Specialisation Operators for Computational Construction Grammar and their Application in Evolutionary Linguistics Research
Anna Harutyunyan, Beyond Single-Step Temporal Difference Learning
Kristof van Moffaert, Multi-Criteria Reinforcement Learning for Sequential Decision Making Problems
Tim Brys, Reinforcement Learning from Heuristic Information
David Catteeuw, Emergence of Honest Signaling through Learning and Evolution
Marjon Blondeel, Nonmonotonic Reasoning in Multivalued Logics
Katrien Beuls, Towards an agent-based tutoring system for Spanish verb conjugation
Yunierkis Perez-Castillo, Computational design of novel FabH inhibitors as potential antibacterial agents
Abdel Rodriguez Abed, Continuous Action Reinforcement Learning Automata, an RL technique for controlling production machines
Mihail Mihaylov, Decentralized Coordination in Multi-Agent Systems
Jonatan Taminau, Unlocking the potential of public available gene expression data for large-scale analysis
Yailen Martinez, A Generic Multi-Agent Reinforcement Learning Approach for Scheduling Problems
Nashat Abughalieh, Source and channel coding in wireless sensor networks
Yann-Michaël De Hauwere, Sparse Interactions in Multi-Agent Reinforcement Learning
Walter Colitti, Multi-layer Traffic Engineering in the New Generation Internet Based on IP/MPLS over ASON/GMPLS networks
Sven Van Segbroeck, Complex dynamics in adaptive networks
Peter Vrancx, Decentralized Reinforcement Learning in Markov Games
