Publications associées à Multi agent simulation of occupants' presence and behaviour

Publications associées (11)

Sequential Reasoning with Socially Caused Beliefs

Machine learning and artificial intelligence methods have achieved remarkable success, matching and even surpassing human capabilities in various complex tasks. However, many demonstrations have generally neglected a critical part of the intelligence that ...

EPFL2025

Scalable Multi-agent Coordination and Resource Sharing

Panayiotis Danassis

A plethora of real world problems consist of a number of agents that interact, learn, cooperate, coordinate, and compete with others in ever more complex environments. Examples include autonomous vehicles, robotic agents, intelligent infrastructure, IoT de ...

EPFL2022

On the Scalability of Vision-based Drone Swarms in the Presence of Occlusions

Dario Floreano, Fabian Maximilian Schilling, Enrica Soria

Vision-based drone swarms have recently emerged as a promising alternative to address the fault-tolerance and flexibility limitations of centralized and communication-based aerial collective systems. Although most vision-based control algorithms rely on th ...

2022

Multi-Agent Reinforcement Learning for Hyperparameter Optimization of Deep Convolutional Neural Networks

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar

Nowadays, Deep Convolutional Neural Networks (DCNNs) play a significant role in many application domains, such as, computer vision, medical imaging, and image processing. Nonetheless, designing a DCNN, able to defeat the state of the art, is a manual, chal ...

2021

Flocking-enhanced social contagion

Ignacio Pagonabarraga Mora

Populations of mobile agents-animal groups, robot swarms, or crowds of people-self-organize into a large diversity of states as a result of information exchanges with their surroundings. While in many situations of interest the motion of the agents is driv ...

AMER PHYSICAL SOC2020

Resource Management for Power-Constrained HEVC Transcoding Using Reinforcement Learning

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar, Luis Maria Costero Valero

The advent of online video streaming services along with the users' demand for high-quality contents require High Efficiency Video Coding (HEVC), which provides higher quality and compression at the cost of increased complexity. On one hand, HEVC exposes a ...

2020

An agent-based model framework for understanding the decisions of households and exploring bottom-up effects on housing sustainability

Claudia Rebeca Binder Signer, Anna Pagani

Housing plays a crucial role in the transition towards sustainability. Zero-energy or low-carbon housing solutions are key, but their success depends on their acceptance by the users. We propose a conceptual and an operational framework for understanding h ...

2019

Trust beyond reputation: A computational trust model based on stereotypes

Anwitaman Datta, Xin Liu

Models of computational trust support users in taking decisions. They are commonly used to guide users' judgements in online auction sites; or to determine quality of contributions in Web 2.0 sites. However, most existing systems require historical informa ...

Elsevier2013

Multi-Agent Approach to Electrical Distribution Networks Control

Sébastien Rumley

A new approach to the configuration and operation of electrical distribution networks is proposed. Traditionally, the medium-voltage part of the electrical grid is operated in a centralized and static manner. In the context of electric sector deregulation ...

IEEE2008

Cooperative Dynamics of Loyal Customers in Queueing Networks

Max-Olivier Hongler, Olivier Gallay

We consider queueing networks (QN) with feedback loops roamed by ``intelligent'' agents, able to select their routing on the basis of their measured waiting times at the QN nodes. This is an idealized model to discuss the dynamics of customers who stay loy ...

2008

Action Semantics in Smart Objects

Daniel Thalmann, Tolga Abaci, Jan Ciger

We present a method of formal description of the action semantics in smart objects. Smart objects were primarily used for behavioral animation in the past. We demonstrate, how a formally described semantics can be used for action planning purposes by intel ...

2005