33 citations · 36 across the 4 of their papers we have counts for
4 papers
Causal Representation Learning for Generalisable Recommendation
Yorgos Felekis, Michael O'Riordan, Oriol Corcoll +1
Predictive models trained on observational data often fail to generalise to the distributions they encounter when deployed, especially when the training data is a product of the sy…
Mind the gap: Challenges of deep learning approaches to Theory of Mind
Jaan Aru, Aqeel Labash, Oriol Corcoll +1
Theory of Mind is an essential ability of humans to infer the mental states of others. Here we provide a coherent summary of the potential, current progress, and problems of deep l…
Did I do that? Blame as a means to identify controlled effects in reinforcement learning
Oriol Corcoll, Youssef Mohamed, Raul Vicente
Identifying controllable aspects of the environment has proven to be an extraordinary intrinsic motivator to reinforcement learning agents. Despite repeatedly achieving State-of-th…
Disentangling causal effects for hierarchical reinforcement learning
Oriol Corcoll, Raul Vicente
Exploration and credit assignment under sparse rewards are still challenging problems. We argue that these challenges arise in part due to the intrinsic rigidity of operating at th…