WTF?! Simulation-Free Reinforcement Learning with Wasserstein-Tilted Flow Maps
It is argued that accelerated samplers such as flow maps are essential infrastructure for efficient post-training, and that the dominant KL-regularized formulation is only one of many choices worth revisiting.
Abbas Mammadov, Jerry Huang, Justin Lin et al.
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