164 citations · 332 across the 18 of their papers we have counts for
3 papers · 1 filter
Native Action-Prior Learning from Videos for World Action Models
Zhaochong An, Fei Zhang, Menglin Jia +10
World action models integrate future visual dynamics with robot action prediction, but their scalability remains limited by the need for action-annotated robot trajectories. Observ…
World Action Modeling with Progressive Visual Planning
Fei Zhang, Zhaochong An, Duncan Frost +5
World action models (WAMs) have emerged as a promising paradigm for robotic control by jointly predicting future visual dynamics and actions from an initial observation and instruc…
Learning What to Recall: Adaptive Multi-Cue Episodic Memory for World Models
Beomsu Kim, Chieh-Hsin Lai, Bac Nguyen +3
World models predict future observations from current experience and actions, yet prediction can depend on observations seen far in the past. Episodic memory preserves past observa…