Xinyi Li

Beyond Myopic World Models: Long-Horizon End-to-End Training for Direct Future Prediction

The Direct Prediction World Model is introduced, a non-recursive architecture that compresses an action sequence of arbitrary length into a single embedding and predicts the endpoint observation in a single forward pass, making long-horizon end-to-end training practical at horizons where unrolled autoregressive training becomes unstable.