Arthur Allshire
@arthurallshire
training diffusion-style models with RL has traditionally required heavy re-engineering of the MDP. david’s paper removes the need for this and provides a clean way to train diffusion with RL using a tweaked PPO style objective. super exited by this — check it out!
David McAllister@davidrmcall · Jul 29, 2025Excited to share Flow Matching Policy Gradients: expressive RL policies trained from rewards using flow matching. It’s an easy, drop-in replacement for Gaussian PPO on control tasks.
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