output
20192025
most citedCurrent knowledge and future research opportunities for modeling annual crop mixtures. A review

130 citations

7 papers

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…

astro-ph.EP2025★ 12 cited

MIRI-LRS spectrum of a cold exoplanet around a white dwarf: water, ammonia, and methane measurements

Maël Voyer, Quentin Changeat, Pierre-Olivier Lagage +21

The study of the atmosphere of exoplanets orbiting white dwarfs is a largely unexplored field. With WD\,0806-661\,b, we present the first deep dive into the atmospheric physics and…

cs.CV2024

Task-conditioned adaptation of visual features in multi-task policy learning

Pierre Marza, Laetitia Matignon, Olivier Simonin +1

Successfully addressing a wide variety of tasks is a core ability of autonomous agents, requiring flexibly adapting the underlying decision-making strategies and, as we argue in th…

cs.AI2023

Sequential annotations for naturally-occurring HRI: first insights

Lucien Tisserand, Frédéric Armetta, Heike Baldauf-Quilliatre +3

We explain the methodology we developed for improving the interactions accomplished by an embedded conversational agent, drawing from Conversation Analytic sequential and multimoda…

cs.LG2023★ 2 cited

Adaptive reinforcement learning of multi-agent ethically-aligned behaviours: the QSOM and QDSOM algorithms

Rémy Chaput, Olivier Boissier, Mathieu Guillermin

The numerous deployed Artificial Intelligence systems need to be aligned with our ethical considerations. However, such ethical considerations might change as time passes: our soci…

cs.CV2023★ 5 cited

AutoNeRF: Training Implicit Scene Representations with Autonomous Agents

Pierre Marza, Laetitia Matignon, Olivier Simonin +3

Implicit representations such as Neural Radiance Fields (NeRF) have been shown to be very effective at novel view synthesis. However, these models typically require manual and care…