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app/(default)/(event)/rss2026/workshop/page.tsx

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@@ -246,28 +246,28 @@ export default function Home() {
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</p>
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<ul className="ml-6 space-y-3 list-outside list-disc">
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<li>
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Long-horizon robot learning and multi-stage task execution
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Long-horizon robot learning and multi-stage task execution.
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</li>
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<li>
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On-policy progress estimation under partial observability
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On-policy progress estimation under partial observability.
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</li>
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<li>
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Task decomposition and sub-goal discovery for complex behaviors
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Task decomposition and sub-goal discovery for complex behaviors.
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</li>
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<li>
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Run-time failure detection, recovery, and robustness in real-world deployment
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Run-time failure detection, recovery, and robustness in real-world deployment.
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</li>
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<li>
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Closed-loop decision-making with feedback-driven adaptation
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Closed-loop decision-making with feedback-driven adaptation.
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</li>
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<li>
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Integration of learning, planning, and control for sequential decision-making
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Integration of learning, planning, and control for sequential decision-making.
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</li>
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<li>
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Data efficiency in robot learning, including on-policy data collection and hybrid offlineonline training
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Data efficiency in robot learning, including on-policy data collection and hybrid offline-online training.
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</li>
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<li>
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Metrics and evaluation protocols for long-horizon performance, robustness, and generalization
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Metrics and evaluation protocols for long-horizon performance, robustness, and generalization.
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</li>
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</ul>
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</div>
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<div className="w-full px-6 flex justify-center mt-6">
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<div className="w-full max-w-7xl flex flex-col gap-3">
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<ul className="ml-6 space-y-3 list-outside list-disc">
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<li>All papers must be submitted through&nbsp;
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<li>All contributions must be submitted through&nbsp;
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<Link href="https://openreview.net/group?id=roboticsfoundation.org/RSS/2026/Workshop/ExWBC" target="_blank" className="text-o-blue animated-underline">
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OpenReview
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</Link>.
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To facilitate double-blind review, all submissions must be fully anonymized.
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</li>
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<li>
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Accepted contributions will be made available online on this workshop website as non-archival reports.
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All accepted contributions will be made available online on this workshop website as non-archival reports.
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</li>
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<li>
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All accepted contributions will be invited for presentations.
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Selected contributions will be invited for presentations.
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</li>
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</ul>
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</div>

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