138 citations · 289 across the 20 of their papers we have counts for
5 papers · 1 filter
Multi-Objective Decision Transformers for Offline Reinforcement Learning
Abdelghani Ghanem, Philippe Ciblat, Mounir Ghogho
Offline Reinforcement Learning (RL) is structured to derive policies from static trajectory data without requiring real-time environment interactions. Recent studies have shown the…
Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks
Apostolos Avranas, Marios Kountouris, Philippe Ciblat
The problem of resource constrained scheduling in a dynamic and heterogeneous wireless setting is considered here. In our setup, the available limited bandwidth resources are alloc…
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
Hakim Hafidi, Mounir Ghogho, Philippe Ciblat +1
We propose Graph Contrastive Learning (GraphCL), a general framework for learning node representations in a self supervised manner. GraphCL learns node embeddings by maximizing the…
On the CVP for the root lattices via folding with deep ReLU neural networks
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
Point lattices and their decoding via neural networks are considered in this paper. Lattice decoding in Rn, known as the closest vector problem (CVP), becomes a classification prob…
A lattice-based approach to the expressivity of deep ReLU neural networks
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
We present new families of continuous piecewise linear (CPWL) functions in Rn having a number of affine pieces growing exponentially in . We show that these functions can be see…