Oriol Corcoll
Research Scientist at Spotify
University of Tartu
Biography
I am a Research Scientist at Spotify working on Causal ML. My Ph.D. from University of Tartu focused on Causal Reinforcement Learning. I studied how reinforcement learning agents can understand the world in terms of cause and effect. Building agents that see the world from a causal lens can enable principled drug discovery, informed interventions on gene regulatory networks, and better decision-making in general.
Previously @ Amazon Alexa
Interests
- Reinforcement Learning
- Causality
- Actual Causality
- Hierarchical RL
- Learning by Explaining
Education
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PhD in Computer Science, 2022
University of Tartu
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MSc in Data Science, 2018
Queen Mary University of London
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BSc in Computer Science, 2014
Politechnic University of Catalonia
Publications
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(2022).
Explanatory World Models via Look Ahead Attention for Credit Assignment.
Causal Representation Learning (UAI).
(2022).
Mind the gap: Challenges of deep learning approaches to Theory of Mind.
Under review.
(2022).
Quantifying reinforcement-learning agent's autonomy, reliance on memory and internalisation of the environment.
Entropy. Special issue Towards a Quantitative Understanding of Agency.
(2022).
Disentangling causal effects for hierarchical reinforcement learning.
Conference on Causal Learning and Reasoning (CLeaR).
(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).