VAMPS: Visual and Motor Policies from Sampling-Based Planning
Learning robot policies directly on physical systems remains difficult because data collection is costly and policy exploration can be unsafe. We introduce Visual and Motor Policies from Sampling-Based Planning (VAMPS), a framework that uses Model Predictive Path Integral (MPPI) control to train reusable policies witho...
Mohamed Yassine Kabouri, Pietro Noah Crestaz, Q. Nguyen et al.
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