Continual Learning and Planning
The proposed project aims at developing novel AI algorithms for continual learning and planning that will be part of the current and future AI movement in society, with a specific focus on tasks that require sequences of decisions to solve....

TAILOR
Maximising opportunities and minimising risks associated with artificial intelligence (AI) requires a focus on human-centred trustworthy AI. This can be achieved by collaborations between research excellence centres with a technical focus on...

RIPL: Regularization and Inference for Practical Reinforcement Learning
The RIPL project aims to advance the current state of reinforcement learning by achieving the following objectives: (O1) The development of hybrid algorithms that integrate deep learning and symbolic planning in novel ways (O2) The advancement of...

DELTA (Dynamically Evolving Long-Term Autonomy)
The DELTA project aims to advance the state of the art of fundamental research in lifelong reinforcement learning (RL) by developing several novel RL algorithms that relax strong assumptions like stationary models or fixed objectives.

Enhancing Usability and Dissemination of Planning Tools (Maria de Maeztu Project)
Over the last few years, the Artificial Inteligence (AI) research group has developed a large number of planning tools.

SimulPast
The SimulPast project is to develop an innovative and interdisciplinary methodological framework to model and simulate ancient societies and their relationship with environmental transformations

SpaceBook
SpaceBook is a speech-driven, hands-free, eyes-free device for pedestrian navigation and exploration