Search Results for author: Oriol Corcoll

Found 4 papers, 1 papers with code

Did I do that? Blame as a means to identify controlled effects in reinforcement learning

1 code implementation ICML Workshop URL 2021 Oriol Corcoll, Youssef Mohamed, Raul Vicente

This work proposes Controlled Effect Network (CEN), an unsupervised method based on counterfactual measures of blame to identify effects on the environment controlled by the agent.

counterfactual

Disentangling causal effects for hierarchical reinforcement learning

no code implementations3 Oct 2020 Oriol Corcoll, Raul Vicente

This distribution is used by a high-level policy to 1) explore the environment via random effect exploration so that novel effects are continuously discovered and learned, and to 2) learn task-specific behavior by prioritizing the effects that maximize a given reward function.

counterfactual Descriptive +3

Semantic Image Cropping

no code implementations15 Jul 2021 Oriol Corcoll

Additionally, I provide a new deep learning system that takes not just aesthetics but also semantics into account to generate image croppings, and I evaluate its performance using my new semantic cropping dataset, showing that using the semantic information of an image can help to produce better croppings.

Image Cropping

Mind the gap: Challenges of deep learning approaches to Theory of Mind

no code implementations30 Mar 2022 Jaan Aru, Aqeel Labash, Oriol Corcoll, Raul Vicente

Theory of Mind is an essential ability of humans to infer the mental states of others.

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