FlowQ uses energy-guided flow matching to learn an offline RL policy approximating π(a|s) ∝ πβ(a|s) exp(Q(s,a)) with guidance applied during training rather than at inference.
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FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
FlowQ uses energy-guided flow matching to learn an offline RL policy approximating π(a|s) ∝ πβ(a|s) exp(Q(s,a)) with guidance applied during training rather than at inference.