Papers Archive

Click on any paper below to view its summary and animation

T2-z: Test-Time Optimization of Environment Latents for Robotic World Models

October 17, 2026

We introduce T2‑Z, a test‑time optimization method that augments a robotic world model with a learnable environment latent to improve generalization to new environments.

View Summary

Policy Gradient Methods: Variance Reduction Techniques

October 17, 2026

Explore how control variates and baselines improve the stability and efficiency of policy gradient algorithms, with practical implementations in modern RL frameworks.

[Animation: Demonstrating variance reduction in policy gradients]

View Summary & Animation