Publications

Jaan Aru, Aqeel Labash, Oriol Corcoll, Raul Vicente (2022). Mind the gap: Challenges of deep learning approaches to Theory of Mind. Under review.

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Oriol Corcoll, Raul Vicente (2022). Explanatory World Models via Look Ahead Attention for Credit Assignment. Causal Representation Learning (UAI).

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Anti Ingel, Abdulah Makkeh, Oriol Corcoll, Raul Vicente (2022). Quantifying reinforcement-learning agent's autonomy, reliance on memory and internalisation of the environment. Entropy. Special issue Towards a Quantitative Understanding of Agency.

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Oriol Corcoll, Raul Vicente (2022). Disentangling causal effects for hierarchical reinforcement learning. Conference on Causal Learning and Reasoning (CLeaR).

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Oriol Corcoll, Youssef Mohamed, Raul Vicente (2021). Did I do that? Blame as a means to identify controlled effects in reinforcement learning. URL @ International Conference on Machine Learning (ICML) and Transactions of Machine Learning Research (TMLR).

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Oriol Corcoll, A. Makkeh, J. Aru, D. Theis, R. Vicente (2019). Attention manipulation in reinforcement learning agents. Cognitive Computational Neuroscience (CCN).

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