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researcher

Sergio Pascual-Diaz

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedDisentangled Skill Embeddings for Reinforcement Learning

9 citations · 9 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2019

A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment

Felix Leibfried, Sergio Pascual-Diaz, Jordi Grau-Moya

Empowerment is an information-theoretic method that can be used to intrinsically motivate learning agents. It attempts to maximize an agent's control over the environment by encour…

cs.LG2019★ 9 cited

Disentangled Skill Embeddings for Reinforcement Learning

Janith C. Petangoda, Sergio Pascual-Diaz, Vincent Adam +2

We propose a novel framework for multi-task reinforcement learning (MTRL). Using a variational inference formulation, we learn policies that generalize across both changing dynamic…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.