Related publications (35)

Human Interactive Robotic Surfaces for Physical Immersion

Fabio Zuliani

Computers have long been augmenting human capabilities and communication, and with emerging technologies, physical immersion in virtual worlds is now attainable. These advancements push the boundaries of human potential, allowing designers, architects, eng ...
EPFL2023

Smart Toys plus plus : Exploiting the Social Connectedness for Playing and Learning

Ayberk Özgür

Under the umbrella of smart toys, a myriad of interactive systems have addressed a variety of scenarios considering entertainment, education, sustainability, social and environmental learning through play. Tangibles and small toy robots prevail; but intera ...
ASSOC COMPUTING MACHINERY2021

Computational tool for stock-constrained design of structures

Corentin Jean Dominique Fivet, Jonas Warmuth, Jan Friedrich Georg Brütting

Designing structures from reused elements is becoming an increasingly important design task for structural engineers as it has potential to significantly reduce adverse environmental impacts of building structures. To allow for a broad application of this ...
2021

Team Policy Learning For Multi-Agent Reinforcement Learning

Ali H. Sayed, Sulaiman A S A E Alghunaim, Lucas Cesar Eduardo Cassano

This work presents a fully distributed algorithm for learning the optimal policy in a multi-agent cooperative reinforcement learning scenario. We focus on games that can only be solved through coordinated team work. We consider situations in which K player ...
IEEE2019

A Too to Design Interactive Characters Based on Embodied Cognition

Ronan Boulic, Joan Llobera Mahy

Creating interactive characters is one of the most challenging tasks of videogame design. In order to facilitate such an endeavor, we introduce a decisional and behavior synthesis architecture integrated in the game engine Unity3D. A distinguishing feature ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature

Maryam Kamgarpour, Andreas Krause

Games with continuous strategy sets arise in several machine learning problems (e.g. adversarial learning). For such games, simple no-regret learning algorithms exist in several cases and ensure convergence to coarse correlated equilibria (CCE). The effic ...
PMLR2019

Modeling exploration strategies to predict student performance within a learning environment and beyond

Modeling and predicting student learning is an important task in computer-based education. A large body of work has focused on representing and predicting student knowledge accurately. Existing techniques are mostly based on students' performance and on ti ...
ACM2017

A new framework for interactive quality assessment with application to light field coding

Touradj Ebrahimi, Irene Viola

In recent years, light field has experienced a surge of popularity, mainly due to the recent advances in acquisition and rendering technologies that have made it more accessible to the public. Thanks to image-based rendering techniques, light field content ...
Spie-Int Soc Optical Engineering2017

Impact of interactivity on the assessment of quality of experience for light field content

Touradj Ebrahimi, Martin Rerabek, Irene Viola

The recent advances in light field imaging are changing the way in which visual content is captured, processed and consumed. Storage and delivery systems for light field images rely on efficient compression algorithms. Such algorithms must additionally tak ...
2017

Generating Calligraphic Trajectories with Model Predictive Control

Sylvain Calinon

We describe a methodology for the interactive definition of curves and motion paths using a stochastic formulation of optimal control. We demonstrate how the same optimization framework can be used in different ways to generate curves and traces that are g ...
2017

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.