https://worldsensetech.com/en/tags/training/Recent content in Training on WorldSense Tech BlogHugoen-USTue, 11 Aug 2026 00:00:00 +0000https://worldsensetech.com/en/articles/dreamerv3-training-tips/Tue, 11 Aug 2026 00:00:00 +0000https://worldsensetech.com/en/articles/dreamerv3-training-tips/<p>In the previous article, we walked through four representation approaches for world models. Today, we shift back to the practical side of DreamerV3 and talk about the pitfalls and tricks you encounter during training. This article is based on local experiments using DreamerV3 commit <code>e3f02248</code>, JAX + Haiku, and MuJoCo + DM Control. Parameter names and configurations may differ across versions.</p> <p>DreamerV3 is currently one of the most open-source and mature world model implementations available. But if you&rsquo;ve actually trained it, you know the process is far from easy — environment setup, hyperparameter tuning, training instability, slow convergence&hellip; the list of gotchas goes on.</p>