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Learning Robot Metareasoning: Adaptive Computation Budgets for Real-Time Control
Planning while moving faces an historical trade-off between deliberation and reactivity. A planner running concurrently with execution needs time to compute, so the robot must commit to an open-loop action chunk for that duration: a longer commitment buys a better plan at the cost of feedback freque
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