• Aucun résultat trouvé

RPL LEARN : Extending an Autonomous Robot Control Language to Perform Experience-based Learning

N/A
N/A
Protected

Academic year: 2021

Partager "RPL LEARN : Extending an Autonomous Robot Control Language to Perform Experience-based Learning"

Copied!
9
0
0

Texte intégral

Références

Documents relatifs

The results in Section 5 enable us to prove that (a small modification of) the construction considered by H¨ aggstr¨ om in the proof of Theorem 2.9 in H¨ aggstr¨ om ( 2001 ) is a

Given that the simulations are based on random synaptic connections and random initial conditions, we do not expect exact replication of spike times, but the qualitative features of

Cette partie établit un portrait de la recherche empirique suisse en éducation interculturelle, tel qu’il apparaît grâce à l’analyse de chacune des catégories définies, soit

The analysis of more than 150 000 galaxies per time step in the redshift range 1.2 < z < 1.8 with morphological diversity shows that the spin of low-mass blue galaxies

Consequently, the aim of this module is to modify students’ representations of the act of learning and to understand key issues such as self-directed learning and its

These shared principles include (1) lightweight reasoning is embedded into the robot control languages; (2) the architectures invite programmers to specify models of the robot and

Sol–Gel Derived Organic and Inorganic Hybrid Materials for Sol–Gel Derived Organic and Inorganic Hybrid Materials for Photonic Applications: Contribution to the Correlation Between

Working with NRC-IRAP’s Industrial Technology Advisors (ITAs), IILM refined the DTAPP work methodology by adding the analysis of a company’s existing software systems to