I am a PhD student in AI at Imperial College London, working in the British Open-Ended Learning & Discovery Lab (BOLD) under the supervision of Prof Antoine Cully. I hold an MSc in AI from Imperial and a BSc in Mathematics from UCL. My research focuses on scalable exploration and adaptive learning for open-ended discovery in artificial intelligence.

Selected Publications

1. 

   Dreaming in Code for Curriculum Learning in Open-Ended Worlds

   Konstantinos Mitsides, Maxence Faldor, and Antoine Cully

   2026

   Accepted at ICML 2026

   Paper Code Website Bib

   @misc{mitsides2026dreamingcodecurriculumlearning,
     title = {Dreaming in Code for Curriculum Learning in Open-Ended Worlds},
     author = {Mitsides, Konstantinos and Faldor, Maxence and Cully, Antoine},
     year = {2026},
     eprint = {2602.08194},
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     url = {https://arxiv.org/abs/2602.08194},
     note = {Accepted at ICML 2026}
   }

2. 

   Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations

   Konstantinos Mitsides, Maxence Faldor, and Antoine Cully

   In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2025

   Paper Code Bib

   @inproceedings{mitsides2025scaling,
     author = {Mitsides, Konstantinos and Faldor, Maxence and Cully, Antoine},
     title = {Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations},
     booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)},
     year = {2025},
     doi = {10.1145/3712256.3726335},
     url = {https://doi.org/10.1145/3712256.3726335},
   }