Videos

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] [...]

What is often done: Explain basics of OOP (e.g. syntax), Give principles of clean programming (e.g. SOLID) with simplified examples, more or less realistic. What [...]

  Elkael Maxime Télécom-SudParis (IMT) PhD Reinforcement learning, Networking Ben Ameur Ayoub  Télécom-SudParis (IMT) PhD Edge computing Bezerra de Araujo Joao Paulo Télécom-Paris (IMT) PhD [...]