4 papers
MetaWorld: Skill Transfer and Composition in a Hierarchical World Model for Grounding High-Level Instructions
Yutong Shen, Hangxu Liu, Kailin Pei +2
Humanoid robot loco-manipulation remains constrained by the semantic-physical gap. Current methods face three limitations: Low sample efficiency in reinforcement learning, poor gen…
DETACH: Cross-domain Learning for Long-Horizon Tasks via Mixture of Disentangled Experts
Yutong Shen, Hangxu Liu, Lei Zhang +4
Long-Horizon (LH) tasks in Human-Scene Interaction (HSI) are complex multi-step tasks that require continuous planning, sequential decision-making, and extended execution across do…
GundamQ: Multi-Scale Spatio-Temporal Representation Learning for Robust Robot Path Planning
Yutong Shen, Ruizhe Xia, Bokai Yan +4
In dynamic and uncertain environments, robotic path planning demands accurate spatiotemporal environment understanding combined with robust decision-making under partial observabil…
Play Style Identification Using Low-Level Representations of Play Traces in MicroRTS
Ruizhe Yu Xia, Jeremy Gow, Simon Lucas
Play style identification can provide valuable game design insights and enable adaptive experiences, with the potential to improve game playing agents. Previous work relies on doma…