Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

RLeap

Financiado

Cerrado

From Data based to Model based AI Representation Learning for Planning

Two of the main research threads in AI revolve around the development of data-based learners capable of inferring behavior and functions from experience and data, and model-based solvers capable of tackling well-defined but intra... ver más

30/09/2025

RWTH AACHEN

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

RHEINISCHWESTFAELISCHE TECHNISCHE HOCHSCHULE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 3 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-04-24

ERC-2019-ADG: ERC Advanced Grant

I+D

Cerrada hace 5 años

0% 100% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

3 Participantes

RWTH AACHEN

1.83M€ | Lider

FLETA SIGLO XXI

UPF

671.30K€ | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

IJC2019-039276-I Learning Symbolic Models for Generalized Planning in AI 93K€ Cerrado

AHPACS Abstraction Heuristics for Planning and Combinatorial Search 241K€ Cerrado

PID2019-108141GB-I00 APRENDIZAJE Y PLANIFICACION CONTINUA 128K€ Cerrado

TIN2012-38969 DESARROLLO DE UNA ARQUITECTURA DE APRENDIZAJE INDUCTIVO PARA... 67K€ Cerrado

TIN2015-67959-P SOLUCIONADORES PARA LA INTELIGENCIA ARTIFICIAL GENERAL CON A... 82K€ Cerrado

IJC2019-039152-I Deep Learning and Neural-symbolic learning and reasoning for... 93K€ Cerrado

Duración del proyecto: 65 meses Fecha Inicio: 2020-04-24
Fecha Fin: 2025-09-30

Líder del proyecto

RHEINISCHWESTFAELISCHE TECHNISCHE HOCHSCHULE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Two of the main research threads in AI revolve around the development of data-based learners capable of inferring behavior and functions from experience and data, and model-based solvers capable of tackling well-defined but intractable models like SAT, classical planning, and Bayesian networks. Learners, and in particular deep learners, have achieved considerable success but result in black boxes that do not have the flexibility, transparency, and generality of their model-based counterparts. Solvers, on the other hand, require models which are hard to build by hand. RLeap is aimed at achieving an integration of learners and solvers in the context of planning by addressing and solving the problem of learning first-order planning representations from raw perceptions alone without using any prior symbolic knowledge. The ability to construct first-order symbolic representations and using them for expressing, communicating, achieving, and recognizing goals is a main component of human intelligence and a fundamental, open research problem in AI. The success of RLeap requires the development of radically new ideas and methods that will build on those of a number of related areas that include planning, learning, knowledge representation, combinatorial optimization and SAT. The approach to be pursued is based on a clear separation between learning the symbolic representations themselves, that is cast as a combinatorial problem, and learning the interpretations of those representations, that is cast as a supervised learning problem from targets obtained from the first part. RLeap will address both problems, not just in the planning setting but in the generalized planning setting as well where plans are general strategies. The project can make a significant difference in how general, explainable, and trustworthy AI can be understood and achieved. The PI has made key contribution to the main themes of the project that make him uniquely qualified to carry it forward.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores