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This is a pytorch implementation of SfBC: Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling.
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In this work, we propose Diffusion-QL which utilizes a diffusion model as a highly expressive policy class for behavior cloning and policy regularization. In our approach we learn an action-value function and we add a term maximising action-values to the the training loss of the diffusion model,…
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Zhendong Wang, Jonathan J Hunt and Mingyuan Zhou https://arxiv.org/abs/2208.06193