All Stories

  1. Learning the value systems of agents with preference-based and inverse reinforcement learning
  2. Learning the Value Systems of Societies from Preferences
  3. An Architecture for Learning Context-based Value Systems
  4. Value Learning for Value-Aligned Route Choice Modeling via Inverse Reinforcement Learning
  5. An Ontology for Value Awareness Engineering
  6. Algorithms for Learning Value-Aligned Policies Considering Admissibility Relaxation
  7. Value-Awareness Engineering: Towards Learning Context-Based Value Taxonomies
  8. On Admissible Behaviours for Goal-Oriented Decision-Making of Value-Aware Agents
  9. A Conversational Agent for Argument-driven E-participation
  10. Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learning