Deep Learning for SAR Image Despeckling. - Francesco Lattari; Borja Gonzalez León; Francesco Asaro; Alessio Rucci; Claudio Maria Prati; Matteo Matteucci (Remote. Sens., 2019)

Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning. - Borja G. León; Francesco Belardinelli (ECAI, 2020)

Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning. - Borja G. León; Murray Shanahan; Francesco Belardinelli (CoRR, 2020)

An Abstraction-based Method to Check Multi-Agent Deep Reinforcement-Learning Behaviors. - Pierre El Mqirmi; Francesco Belardinelli; Borja G. León (AAMAS, 2021)

Evolutionary reinforcement learning for sparse rewards. - Shibei Zhu; Francesco Belardinelli; Borja Gonzalez León (GECCO Companion, 2021)

An Abstraction-based Method to Verify Multi-Agent Deep Reinforcement-Learning Behaviours. - Pierre El Mqirmi; Francesco Belardinelli; Borja G. León (CoRR, 2021)

Do Androids Dream of Electric Fences? Safety-Aware Reinforcement Learning with Latent Shielding. - Chloe He 002; Borja G. León; Francesco Belardinelli (SafeAI@AAAI, 2022)

Enabling Markovian Representations under Imperfect Information. - Francesco Belardinelli; Borja G. León; Vadim Malvone (ICAART (2), 2022)

In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications. - Borja G. León; Murray Shanahan; Francesco Belardinelli (ICLR, 2022)

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, 2024)

Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration. - Borja G. León; Francesco Riccio; Kaushik Subramanian; Peter R. Wurman; Peter Stone 001 (NeurIPS, 2024)