3 papers
cs.LG2026
Learning to Theorize the World from Observation
Doojin Baek, Gyubin Lee, Junyeob Baek +2
What does it mean to understand the world? Contemporary world models often operationalize understanding as accurate future prediction in latent or observation space. Developmental…
cs.AI2026
Monte Carlo Tree Diffusion for System 2 Planning
Jaesik Yoon, Hyeonseo Cho, Doojin Baek +2
Diffusion models have recently emerged as a powerful tool for planning. However, unlike Monte Carlo Tree Search (MCTS)-whose performance naturally improves with inference-time comp…
cs.LG2025
Extendable Planning via Multiscale Diffusion
Chang Chen, Hany Hamed, Doojin Baek +4
Long-horizon planning is crucial in complex environments, but diffusion-based planners like Diffuser are limited by the trajectory lengths observed during training. This creates a…