Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning

Given a pair of menu designs and estimates of user expertise and interest, these models predict selection time for items for varying user strategies.. For each model, the reward

Leur répétition n’est pas due au hasard, mais à une force des choses (une causalité). L’usage de l’adverbe Décidément constitue un prolongement d’un ensemble de discours

This approach is aimed to strengthen the reliability of computational results by highlighting the invariant properties of the market setting under study with respect to an

This situation is thus the starting point in the shaping process Agents face a sequence of tasks to learn before ending in a standard 8 × 8 environment where they keep on

coordination could explain the VC in fluence on the perform- ances of the graphite secondary batteries with an ionic-liquid- based electrolyte since (i) the di ffusion coefficient of [Li

Features from the General Inquirer outperform other strategies accuracy (highest number of correct guesses) and mean squared error (lowest difference with human

( ﺔﻜﺒﺸﻟا ﻰﻠﻋ ةﺮﻓﻮﺘﻤﻟا ﺔﯿﻧوﺮﺘﻜﻟﻹا ﻊﺟاﺮﻤﻟا ﻰﻠﻋ نﺎﯿﺣﻷا ﺐﻟﺎﻏ ﻲﻓ ﺎﻧﺪﻤﺘﻋا ﺪﻗو ، ﺔﯿﺗﻮﺒﻜﻨﻌﻟا ) ﺖﻧﺮﺘﻧﻹا ( ﺮﻔﻟا و ﺔﯿﺑﺮﻌﻟا ﺔﻐﻠﻟﺎﺑ ﺔﯿﺴﻧ ﺔﯾﺰﯿﻠﺠﻧﻻا و ﺔﺻﺎﺧ ،عﻮﺿﻮﻤﻟا ﺔﺛاﺪﺣ ﺐﺒﺴﺑ

as in two Commission soft law instruments: Commission Recommendation of 11 February 2003 on relevant product and service markets within the electronic communications sector