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license: cc-by-nc-4.0
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license: cc-by-nc-4.0
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This repository contains model checkpoints for **Generative OOD-regularized Model-based Policy Optimization (GORMPO)** on author-created sparse medium-expert level D4RL datasets from the Gym environment: halfcheetah, walker2d and hopper.
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Each folder contains density model checkpoints (KDE, VAE, RealNVP, Diffusion, NeuralODE) and policy checkpoints for MBPO-based (mbpo_based) and MOBILE-based (mobile_based) GORMPO. Each policy folder contains policies that are trained with each density model's reward penalty.
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# Usage
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Clone the [GORMPO codebase](https://github.com/Rose-STL-Lab/GORMPO), download the models, and follow the instructions in the README. See the datasets [here](https://huggingface.co/datasets/aysin/sparse_medium_expert_D4RL).
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