Interactive world simulation
Sherry Yang
Coauthor of UniSim, a learned simulator conditioned on actions and interactions.
- Tracked papers
- 2
- Past year
- 1
- Editor picks
- 0
MLE-World: Predicting Machine Learning Experiment Outcomes with a Learned World Model
MLE-World is a learned world model fine-tuned from Qwen3.5-4B to predict a program’s terminal output (error traces, training logs, validation score) from its code and data description without executing it, plus a confidence score. It enable…
Learning Interactive Real-World Simulators
UniSim learns a universal simulator of real-world interaction by orchestrating diverse datasets (image, robotics, navigation) so it can simulate the visual outcome of both high-level instructions and low-level controls; policies trained pur…