Mixed-Density Diffuser achieves new state-of-the-art results on D4RL benchmarks by allowing non-uniform temporal resolution in diffusion planning.
Cleandif- fuser: An easy-to-use modularized library for diffusion models in decision making
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BiTrajDiff augments offline RL datasets by running independent forward and backward diffusion processes from intermediate states, yielding higher performance than prior one-directional data-augmentation baselines on D4RL.
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Mixed-Density Diffuser: Efficient Planning with Non-Uniform Temporal Resolution
Mixed-Density Diffuser achieves new state-of-the-art results on D4RL benchmarks by allowing non-uniform temporal resolution in diffusion planning.
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BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning
BiTrajDiff augments offline RL datasets by running independent forward and backward diffusion processes from intermediate states, yielding higher performance than prior one-directional data-augmentation baselines on D4RL.