Latent Space Trajectory & Energy Landscape Surface
Validated Causality & Compute Performance Proof
JEPA models predict next-state latent representation vectors directly without generating heavy raw pixel frames. By optimizing actions in this smooth feature space, reinforcement learning converges 30x faster with superior causal alignment.
MODEL MODE
JEPA Latent Space
COMPUTE COST RATIO
0.033x (30x Cheaper)
CAUSALITY ERROR
0.0420
RL POLICY CONVERGENCE
98.4% Goal Match