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Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL

Offline Goal-Conditioned Reinforcement Learning (Offline GCRL) is an important problem in RL that focuses on acquiring diverse goal-oriented skills solely from pre-collected behavior datasets.

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Cite this as

Sungyoon Kim, Yunseon Choi, Daiki E. Matsunaga, Kee-Eung Kim (2024). Dataset: Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL. https://doi.org/10.57702/b0vw4310

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2402.07226
Author	Sungyoon Kim
More Authors	Yunseon Choi Daiki E. Matsunaga Kee-Eung Kim
Homepage	https://github.com/rlatjddbs/SSD