1 citations · 1 across the 4 of their papers we have counts for
4 papers
Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models
SeungWon Seo, DongHeun Han, SeongRae Noh +1
Executable world models can be read, edited, executed, and reused for planning, but only if the program captures the environment's transition law rather than semantic shortcuts in…
Edit-As-Act: Goal-Regressive Planning for Open-Vocabulary 3D Indoor Scene Editing
Seongrae Noh, SeungWon Seo, Gyeong-Moon Park +1
Editing a 3D indoor scene from natural language is conceptually straightforward but technically challenging. Existing open-vocabulary systems often regenerate large portions of a s…
From Assumptions to Actions: Turning LLM Reasoning into Uncertainty-Aware Planning for Embodied Agents
SeungWon Seo, SooBin Lim, SeongRae Noh +2
Embodied agents operating in multi-agent, partially observable, and decentralized environments must plan and act despite pervasive uncertainty about hidden objects and collaborator…
REVECA: Adaptive Planning and Trajectory-based Validation in Cooperative Language Agents using Information Relevance and Relative Proximity
SeungWon Seo, SeongRae Noh, Junhyeok Lee +3
We address the challenge of multi-agent cooperation, where agents achieve a common goal by cooperating with decentralized agents under complex partial observations. Existing cooper…