Disentangling causal effects for hierarchical reinforcement learning. - Oriol Corcoll; Raul Vicente (CoRR, 2020)

Did I do that? Blame as a means to identify controlled effects in reinforcement learning. - Oriol Corcoll; Raul Vicente (CoRR, 2021)

Semantic Image Cropping. - Oriol Corcoll (CoRR, 2021)

Disentangling Controlled Effects for Hierarchical Reinforcement Learning. - Oriol Corcoll; Raul Vicente (CLeaR, 2022)

Quantifying Reinforcement-Learning Agent's Autonomy, Reliance on Memory and Internalisation of the Environment. - Anti Ingel; Abdullah Makkeh; Oriol Corcoll; Raul Vicente (Entropy, 2022)

Did I do that? Blame as a means to identify controlled effects in reinforcement learning. - Oriol Corcoll; Youssef Sherif Mansour Mohamed; Raul Vicente (Trans. Mach. Learn. Res., 2022)

Mind the gap: challenges of deep learning approaches to Theory of Mind. - Jaan Aru; Aqeel Labash; Oriol Corcoll; Raul Vicente (Artif. Intell. Rev., 2023)

Contrastive representations of high-dimensional, structured treatments. - Oriol Corcoll; Athanasios Vlontzos; Michael O'Riordan; Ciarán M. Gilligan-Lee (CoRR, 2024)

The Hardness of Validating Observational Studies with Experimental Data. - Jake Fawkes; Michael O'Riordan; Athanasios Vlontzos; Oriol Corcoll; Ciarán Mark Gilligan-Lee (AISTATS, 2025)