arXiv (OAI Expanded)
open access
Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport
Offline reinforcement learning aims to learn a policy solely from fixed datasets, which often contain multimodal action distributions. Flow policies can naturally represent such multimodal behaviors, but learning an efficient one-step flow policy remains challenging: standard value guidance often le
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