{
  "id": 19443,
  "url": "https://arxiv.org/abs/2608.13415v1",
  "title": "Deliberate Practice: Learning Robot Skills under a Budget",
  "summary": "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",
  "authors": "Shivam Vats, Sudarshan Harithas, Mete Tuluhan Akbulut, Arvind Raghunathan, George Konidaris",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-13T16:09:25.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/19443",
  "original_url": "https://arxiv.org/abs/2608.13415v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}