A Structural Characterisation of the Mitogen-Activated Protein Kinase Network in Cancer. - Evangelos Chatzaroulas; Vytenis Sliogeris; Pedro Victori; Francesca M. Buffa; Sotiris Moschoyiannis; Roman Bauer 001 (Symmetry, 2022)

Sampled-data Control of Probabilistic Boolean Control Networks: A Deep Reinforcement Learning Approach. - Amol Yerudkar; Evangelos Chatzaroulas; Carmen Del Vecchio; Sotiris Moschoyiannis (Inf. Sci., 2023)

Deep Reinforcement Learning for Stabilization of Large-Scale Probabilistic Boolean Networks. - Sotiris Moschoyiannis; Evangelos Chatzaroulas; Vytenis Sliogeris; Yuhu Wu (IEEE Trans. Control. Netw. Syst., 2023)

In-Context Ensemble Improves Video-Language Models for Low-Level Workflow Understanding from Human Demonstrations. - Moucheng Xu; Evangelos Chatzaroulas; Luc McCutcheon; Abdul Ahad; Hamzah Azeem; Janusz Marecki; Ammar Anwar (CoRR, 2024)

Multi-Task Reinforcement Learning Enables Parameter Scaling. - Reginald McLean; Evangelos Chatzaroulas; Jordan K. Terry; Isaac Woungang; Nariman Farsad; Pablo Samuel Castro (CoRR, 2025)

Meta-World+: An Improved, Standardized, RL Benchmark. - Reginald McLean; Evangelos Chatzaroulas; Luc McCutcheon; Frank Röder; Tianhe Yu; Zhanpeng He; K. R. Zentner; Ryan Julian; Jordan K. Terry; Isaac Woungang; Nariman Farsad; Pablo Samuel Castro (CoRR, 2025)