Deliberate Practice: Learning Robot Skills under a Budget
We consider the problem of autonomously learning robot skills under a limited practice budget for sequential tasks. We propose an active skill learning algorithm, \emph{Deliberate Practice (DP)}, that computes a provably \emph{budget-optimal} allocation---practicing skills that maximize expected cumulative reward while being learnable within the budget. DP estimates both the time needed to master skills and the cumulative reward of the task plans that the skills unlock. Computing a budget-optima
Record details
Published: 13 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy
Retrieved: 14 August 2026
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ethics.ai (13 August 2026), “Deliberate Practice: Learning Robot Skills under a Budget,” evidence record 19443, https://ethics.ai/record/19443 (originally published by arXiv cs.AI).
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