Borja Gonzalez Leon, Ph.D.
Co-Founder & Chief Scientist at Iconic.
borjagleon [at] gmail [dot] com
Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration.Borja G. León, Francesco Riccio, Kaushik Subramanian, Peter Wurman & Peter Stone.
NeurIPS 2024.Reinforcement learning algorithm that learns diverse near-optimal policies in the GranTurismo 7 and generalises in far out-of-distribution physic settings while maintaining visually-diverse solutions.
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics.Luca Grillotti, Maxence Faldor, Borja G. León, Antoine Cully.
ICML 2024Quality-diversity reinforcement learning algorithm that learns diverse high-performing behaviors in continuous control tasks, enabling better adaptation to unexpected situations while maintaining both quality and behavioral diversity.
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications.Borja G. León, Murray Shanahan, Francesco Belardinelli
ICLR 2022Deep learning architecture that generates goal representations for multi-task temporal logic instructions, enabling better generalization to unseen tasks in out-of-distribution environments.
To be finished
I lead the AI research and development efforts at Iconic towards enabling new forms of interactive media. I am a member of the European Laboratory for Learning and Intelligent Systems (ELLIS), and have been recognised in the Nova 2024 list of Top 11 Spanish tech professionals and the 2021 CIDOB 35 under 35 Leaders of the Future list. I am also the founder and lead organiser of Imperial College Autonomous Reasoning & Learning (ICARL).Previously, I spearheaded research projects at Sony AI and Meta, contributing to significant improvements in the AI racing systems of Gran Turismo 7 and in ads targeting systems, respectively. I received my PhD in Artificial Intelligence from Imperial College London under the supervision of Francesco Belardinelli and Murray Shanahan, where I focused on reinforcement learning and the compositional generalisation of grounded language learning.My research has been published in top-tier conferences including NeurIPS, ICLR, and ICML. I am driven by the goal of pushing the field towards artificial general intelligence, with a particular focus on open-endedness, reinforcement learning, continual learning, and deep learning.