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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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  license: cc-by-nc-4.0
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+ This repository contains model checkpoints for [**Generative OOD-regularized Model-based Policy Optimization (GORMPO)**](https://openreview.net/forum?id=3KDoYUU2CU) 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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