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News/Reinforcement Learning from Real-Robot Interaction without High-Quality State Estimates
arxiv
PublishedOctober 15, 2026 at 4:00 AM

Reinforcement Learning from Real-Robot Interaction without High-Quality State Estimates

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arXiv:2610.14042v1 Announce Type: cross Abstract: A longstanding goal for robot reinforcement learning (RL) is that robots learn from their own physical experience, as humans and animals do. A key obstacle to learning directly from physical experience, especially outside instrumented lab environment

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