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Found 2 papers, 2 papers with code
FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy
We introduce FabricFlowNet (FFN), a cloth manipulation policy that leverages flow as both an input and as an action representation to improve performance.
PLAS: Latent Action Space for Offline Reinforcement Learning
The goal of offline reinforcement learning is to learn a policy from a fixed dataset, without further interactions with the environment.
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