Videos

With the densification of wireless networks and the increasing standards of wireless communication protocols, the study of the stochastic stability of wireless networks becomes increasingly [...]

Convex Optimization provide a set of fast, practical tools and algorithms which have applications accross many fields, from Machine Learning to Networking or Finance. However, [...]

Applications of machine learning to networking, from performance diagnosis to security, have conventionally relied on models that are trained on offline packet traces, without regard [...]

Submodularity is a property that models "diminishing return", when the benefits of adding a new element to a set decreases with the size of the [...]

Bizon Monroc Claire Inria PhD Informatique Le Corre Thomas  Inria PhD Smart greed Shilov Ilia  Inria PhD Game theoretic approaches for decentralized electricity markets Weber [...]

  Davydov Michel  Inria PhD Dynamiques markoviennes à base de processus ponctuels et leurs applications Khaniha Sayeh  Inria PhD   Popineau Pierre  Inria PhD Study [...]

Gym by OpenAI is an open source interface to reinforcement learning (RL) tasks. It comes with a set of standard tasks useful for benchmarking RL [...]

We consider the problem of a multiagent system where entities meet and interact in a pairwise fashion. Agents may rate the outcome of the interaction [...]

We consider in this work Edge Computing (EC) in a multi-tenant environment: the resource owner, i.e., the Network Operator (NO), virtualizes the resources and lets [...]

All kinds of Internet maps have been produced to emphasize various features of the network such as undersea cables [1], relationships between autonomous systems [2] [...]