output
20122026
most citedRobots that can adapt like animals

963 citations

Showing 2025Show all

12 papers · 1 filter

cs.HC2025

Breaking Players' expectations: the Role of Non-player Characters' coherence and Consistency

Remi Poivet, Catherine Pelachaud, Malika Auvray

In video games, non-player characters (NPCs) play a pivotal role in shaping players' experiences. The design of these characters, encompassing their appearance and behaviors, can b…

eess.SY2025

Learning Physically Consistent Lagrangian Control Models Without Acceleration Measurements

Ibrahim Laiche, Mokrane Boudaoud, Patrick Gallinari +1

This article investigates the modeling and control of Lagrangian systems involving non-conservative forces using a hybrid method that does not require acceleration calculations. It…

cs.LG2025

Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning

Franki Nguimatsia Tiofack, Théotime Le Hellard, Fabian Schramm +2

Offline reinforcement learning often relies on behavior regularization that enforces policies to remain close to the dataset distribution. However, such approaches fail to distingu…

cs.SD2025

Gelina: Unified Speech and Gesture Synthesis via Interleaved Token Prediction

Téo Guichoux, Théodor Lemerle, Shivam Mehta +5

Human communication is multimodal, with speech and gestures tightly coupled, yet most computational methods for generating speech and gestures synthesize them sequentially, weakeni…

cond-mat.soft2025

Maze-solving with density-driven swarms

Esther María Zamora Sánchez, Sébastien Billès, Paul-Henry Glinel +2

We propose a new kind of collective motion where swarms of simple agents are able to find and fix the solution of two-dimensional mazes. The model consists of active memoryless par…

cs.LG2025

ENMA: Tokenwise Autoregression for Generative Neural PDE Operators

Armand Kassaï Koupaï, Lise Le Boudec, Louis Serrano +1

Solving time-dependent parametric partial differential equations (PDEs) remains a fundamental challenge for neural solvers, particularly when generalizing across a wide range of ph…