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@@ -170,12 +170,14 @@ <h2 class="title is-3">Abstract</h2>
 
 
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           Our algorithm consists of an offline learning phase and an online execution phase.
           During the offline phase, we learn a set of basis functions that span the space of dynamics.
           This space of dynamics can arise due to unknown system parameters, such as a quadrotor with an unknown mass.
@@ -184,8 +186,9 @@ <h2 class="subtitle has-text-centered">
           This online adaptation requires zero gradient updates, and can be computed in real-time.
           Then, this model can be used for downstream tasks, such as MPC.
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