Approximate regret based elicitation in Markov decision process. - Pegah Alizadeh; Yann Chevaleyre; Jean-Daniel Zucker (RIVF, 2015)

Advantage based value iteration for Markov decision processes with unknown rewards. - Pegah Alizadeh; Yann Chevaleyre; François Lévy (IJCNN, 2016)

Solving MDPs with Unknown Rewards Using Nondominated Vector-Valued Functions. - Pegah Alizadeh; Yann Chevaleyre; François Lévy (STAIRS, 2016)

Elicitation and planning in Markov decision processes with unknown rewards. (Elicitation et planification dans les processus décisionnel de MARKOV avec récompenses inconnues). - Pegah Alizadeh (2016)

An Experimental Approach for Information Extraction in Multi-party Dialogue Discourse. - Pegah Alizadeh; Peggy Cellier; Thierry Charnois; Bruno Crémilleux; Albrecht Zimmermann (CICLing (1), 2018)

Étude Expérimentale d'Extraction d'Information dans des Retranscriptions de Réunions (An Experimental Approach For Information Extraction in Multi-Party Dialogue Discourse). - Pegah Alizadeh; Peggy Cellier; Thierry Charnois; Bruno Crémilleux; Albrecht Zimmermann (CORIA-TALN-RJC (TALN 2), 2018)

Calcul d'une politique déterministe dans un MDP avec récompenses imprécises. - Pegah Alizadeh; Aomar Osmani; Emiliano Traversi (EGC, 2019)

Apprentissage par renforcement pour la recherche d'experts sur le web. - Pegah Alizadeh; Jorge García Flores; Iván Vladimir Meza Ruíz (EGC, 2020)

Industrie 4.0 : Prédiction de consommation réelle par fine-tuning à partir de simulations. - Christophe Rodrigues; Pegah Alizadeh; Dmitry Bondarenko (EGC, 2020)

A multi-view architecture for the SHL challenge. - Massinissa Hamidi; Aomar Osmani; Pegah Alizadeh (UbiComp/ISWC Adjunct, 2020)

Equational Model Guided by Real-time Sensor Data to Monitor Industrial Robots. - Aomar Osmani; Pegah Alizadeh; Christophe Rodrigues (CASE, 2021)

Hierarchical Learning of Dependent Concepts for Human Activity Recognition. - Aomar Osmani; Massinissa Hamidi; Pegah Alizadeh (PAKDD (2), 2021)

Machine Learning Guided Optimization for Demand Responsive Transport Systems. - Louis Zigrand; Pegah Alizadeh; Emiliano Traversi; Roberto Wolfler Calvo (ECML/PKDD (4), 2021)

Deterministic policies based on maximum regrets in MDPs with imprecise rewards. - Pegah Alizadeh; Emiliano Traversi; Aomar Osmani (AI Commun., 2021)

Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition. - Aomar Osmani; Massinissa Hamidi; Pegah Alizadeh (CoRR, 2021)

Reinforcement Learning for Interactive QoS-Aware Services Composition. - Pegah Alizadeh; Aomar Osmani; Mohamed Essaid Khanouche; Abdelghani Chibani; Yacine Amirat (IEEE Syst. J., 2021)

Clustering Approach to Solve Hierarchical Classification Problem Complexity. - Aomar Osmani; Massinissa Hamidi; Pegah Alizadeh (AAAI, 2022)

Improving Imitation Learning by Merging Experts Trajectories. - Pegah Alizadeh; Aomar Osmani; Sammy Taleb (CIKM, 2022)

How to Learn the Optimal Clique Decompositions in Solving Semidefinite Relaxations for OPF. - Charly Alizadeh; Pegah Alizadeh; Miguel F. Anjos; Lucas Létocart; Emiliano Traversi (IJCNN, 2022)

Place embedding across cities in location-based social networks. - Christophe Haikal; Pegah Alizadeh; Christophe Rodrigues; Chongke Bi (SAC, 2022)

Optimization-driven Demand Prediction Framework for Suburban Dynamic Demand-Responsive Transport Systems. - Louis Zigrand; Roberto Wolfler Calvo; Emiliano Traversi; Pegah Alizadeh (IJCAI, 2023)

A Deep Learning Approach for Predicting Radio Channels Across Frequency in Mobile Networks. - Apostolos Destounis; Pegah Alizadeh (6GNet, 2024)

Enhancing Decision-Making in Energy Management Systems Through Action-Independent Dynamics Learning. - Théo Zangato; Aomar Osmani; Pegah Alizadeh (ECAI, 2024)

Optimisation de la Gestion de l'Énergie par l'Apprentissage par Renforcement et le Clustering de Séries Temporelles pour la Génération de Politiques Individualisées. - Théo Zangato; Aomar Osmani; Pegah Alizadeh (EGC, 2024)

Generative AI in mobile networks: a survey. - Athanasios Karapantelakis; Pegah Alizadeh; Abdulrahman Alabassi; Kaushik Dey; Alexandros Nikou (Ann. des Télécommunications, 2024)

Amélioration de l'apprentissage par renforcement appliquée à la gestion de l'énergie par l'apprentissage des dynamiques indépendantes des actions. - Théo Zangato; Aomar Osmani; Pegah Alizadeh (EGC, 2025)

Data-Driven Policy Mapping for Safe RL-based Energy Management Systems. - Théo Zangato; Aomar Osmani; Pegah Alizadeh (CoRR, 2025)

Offline Reinforcement Learning for Mobility Robustness Optimization. - Pegah Alizadeh; Anastasios Giovanidis; Pradeepa Ramachandra; Vasileios Koutsoukis; Osama Arouk (CoRR, 2025)