stable-worldmodel
A platform for reproducible world model research and evaluation
Struggling with Stable-WorldModel solver convergence Stop planning horizon mismatches Learn how to tune horizon and solver hyperparameters for reliable results.
Execution Flow of World.collect vs World.evaluate in stable-worldmodelUnderstand the difference between World collect and World evaluate execution flow in stable-worldmodel. Learn how they record data and compute metrics for effective RL experimentation.
How to Implement Custom Data Normalization and Observation/Reward Encoding for World ModelsLearn to implement custom data normalization and obs/rew encoding for world models in galilai-group/stable-worldmodel. Extend the Transformable protocol and register your scaler for seamless integration.
Setting Up Environment Variation Parameters for Robustness Evaluation of World ModelsExplore robust world models by setting up environment variation parameters. Customize visual and physical factors for domain randomization and OOD testing with Stable WorldModel.
Implementing Categorical CEM for Discrete Action Spaces in Stable-WorldModelLearn how to implement categorical CEM for discrete action spaces in Stable-WorldModel. Optimize action sequences efficiently without gradients using Gumbel-max sampling and elite refitting.
Understanding World Model Rollout and Embedding Caching in Stable-WorldModelLearn how galilai-group/stable-worldmodel optimizes rollout and caching with vision transformers for efficient model-predictive control. Discover embedding caching techniques.
How to Implement Action Repeat and Frame Stacking Wrappers for World ModelsLearn to implement action repeat and frame stacking wrappers for world models using the galilai-group/stable-worldmodel library. Streamline your environment modifications efficiently.
Supported Dataset Formats for Stable-WorldModel: HDF5, Lance, LeRobot, and Folder LayoutExplore supported dataset formats for Stable-WorldModel: HDF5, Lance, LeRobot, and folder layouts. Discover the flexible data handling capabilities of stable_worldmodel.
How to Implement Lagrangian and PGD Solver Callbacks for Constrained MPC in Stable‑WorldModelLearn to implement Lagrangian and PGD solver callbacks for constrained MPC in Stable-WorldModel. Extend solver constructors, invoke callbacks at each step, and aggregate histories for advanced control.
EnvPool Parallel Environment Execution and Masking in Stable-WorldModel: A Technical Deep DiveMaster EnvPool parallel environment execution and masking in Stable-WorldModel. Achieve high throughput for your world models by understanding selective masking and pre-allocated buffers.
Implementing Custom Environment Wrappers with Pre‑wrappers and Extra‑wrappers in stable‑worldmodelLearn to implement custom environment wrappers in stable-worldmodel using pre-wrappers for pre-processing and extra-wrappers for post-processing. Enhance your model's data pipeline effectively.
GPU Memory Optimization Strategies for Large World Models: 8 Techniques from Stable-WorldModelDiscover 8 GPU memory optimization strategies for large world models. Train huge models on single 24 GB GPUs using mixed-precision inference, Torch compile, and more from Stable WorldModel.
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