Simple Strategies in Multi-Objective MDPs (Technical Report). - Florent Delgrange; Joost-Pieter Katoen; Tim Quatmann; Mickael Randour (CoRR, 2019)

Simple Strategies in Multi-Objective MDPs. - Florent Delgrange; Joost-Pieter Katoen; Tim Quatmann; Mickael Randour (TACAS (1), 2020)

Life is Random, Time is Not: Markov Decision Processes with Window Objectives. - Thomas Brihaye; Florent Delgrange; Youssouf Oualhadj; Mickael Randour (Log. Methods Comput. Sci., 2020)

Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes (Technical Report). - Florent Delgrange; Ann Nowé; Guillermo A. Pérez 001 (CoRR, 2021)

Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes. - Florent Delgrange; Ann Nowé; Guillermo A. Pérez 001 (AAAI, 2022)

Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees. - Florent Delgrange; Ann Nowé; Guillermo A. Pérez 001 (ICLR, 2023)

The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models. - Raphaël Avalos; Florent Delgrange; Ann Nowé; Guillermo A. Pérez 001; Diederik M. Roijers (ICLR, 2024)

Synthesis of Hierarchical Controllers Based on Deep Reinforcement Learning Policies. - Florent Delgrange; Guy Avni; Anna Lukina; Christian Schilling 001; Ann Nowé; Guillermo A. Pérez 001 (CoRR, 2024)

Composing Reinforcement Learning Policies, with Formal Guarantees. - Florent Delgrange; Guy Avni; Anna Lukina; Christian Schilling 001; Ann Nowé; Guillermo A. Pérez 001 (AAMAS, 2025)

A framework for flexibly guiding learning agents. - Mahmoud Elbarbari; Florent Delgrange; Ivo Vervlimmeren; Kyriakos Efthymiadis; Bram Vanderborght; Ann Nowé (Neural Comput. Appl., 2025)