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| File | What it is |
|---|---|
world_models_survey.md | SOTA survey (2024–2026): the four paradigms (autoregressive / diffusion / JEPA-latent / world-action), per-model deep dives (WHAM, V-JEPA 2, Genie 3, Cosmos, GameNGen/DIAMOND/Oasis, Dreamer…), open problems. |
papers.md | Annotated reading list with arXiv links, grouped and flagged (must-read / robotics / game-data). |
latent_action_cross_embodiment.md | Deep dive on latent action & cross-embodiment transfer (LAPA, Genie LAM, UniSkill, Latent Action Diffusion, V-JEPA 2-AC) — the bridge from unlabeled gameplay/video to robot actions. |
training_plan.md | Our staged training approach — VQ tokenizer → autoregressive world model (WHAM-style) → latent-action + controllable latent dynamics → robot transfer. Architecture choices, eval, compute anchors. |
robotics_transfer.md | Three routes from a world model to robot autonomy (action-conditioned planning + MPC / representation backbone / dreamed policy training), the embodiment gap, and a recommended path. |
world_model_benchmarks.md | Catalog of world-model benchmarks (2024–2026) across 6 categories — unified world-generation (WorldScore), physical reasoning (Physics-IQ, VideoPhy), action controllability (ACT-Bench), embodied/robotics (EWMBench, RoboWM-Bench), model-based RL (Atari 100k, DMC), and cross-cutting metrics. |
papers.md.