FLAG augments state space with flow latent variable to optimize a proxy MaxEnt-RL objective, enabling expressive policies with limited importance samples in high-dimensional control.
Diffusion-based reinforcement learning via Q-weighted variational policy optimization
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FLAG: Flow Policy MaxEnt-RL by Latent Augmented Guidance
FLAG augments state space with flow latent variable to optimize a proxy MaxEnt-RL objective, enabling expressive policies with limited importance samples in high-dimensional control.