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Real-world utility boost: MBRL research pipeline
- NEW dataset.py: SemanticTransitionDataset (PyTorch-compatible) - Loads trajectory JSONL, filters by task, stats(), to_pytorch() - NEW trajectories/sample_trajectory.jsonl: 13 real transitions - ENHANCED server/app.py: - /health returns task names, version, grader info - /export_trajectory endpoint for JSONL trajectory export - ENHANCED README: - Concrete 4-step MBRL research pipeline with runnable code - Open research questions (error compounding, transfer, embeddings) - Citation framing as 'first semantic MDP benchmark' - UPDATED HF Space card: research-first description0255d22