3 papers
cs.LG2026
Instance Discrimination for Link Prediction
Valentin Cuzin-Rambaud, Mathieu Lefort, Rémy Cazabet
Recently, instance discrimination models have emerged as a major solution for self-supervised learning. Having already demonstrated its effectiveness in the image domain, instance…
cs.LG2026
A Survey of Multi-Agent Deep Reinforcement Learning with Graph Neural Network-Based Communication
Valentin Cuzin-Rambaud, Laetitia Matignon, Maxime Morge
In multi-agent reinforcement learning (MARL), the integration of a communication mechanism, allowing agents to better learn to coordinate their actions and converge on their object…
cs.AI2025
VIRAL: Vision-grounded Integration for Reward design And Learning
Valentin Cuzin-Rambaud, Emilien Komlenovic, Alexandre Faure +1
The alignment between humans and machines is a critical challenge in artificial intelligence today. Reinforcement learning, which aims to maximize a reward function, is particularl…