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ProxPI: Proximal Prior Injection for Sampling-Based MPC under Learned-Prior Mismatch
Combining learned policies with model predictive control can leverage learned task priors while retaining online adaptation to new objectives and constraints, but performance degrades when the policy is out of distribution. In policy-guided model predictive path integral (MPPI) control, a policy-cen
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