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Episode 49: Robotic World Model (RWM): Learning Stable Neural Simulators for Long-Horizon Control
# Robotic World Model (RWM): Learning Stable Neural Simulators for Long-Horizon Control
Recent work by Chenhao Li, Andreas Krause, and Marco Hutter (ETH Zurich) introduces **Robotic World Model (RWM)** – a learned, recurrent simulator designed to support robust policy learning and sim-to-real tr...
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By Shaoqing Tan# Robotic World Model (RWM): Learning Stable Neural Simulators for Long-Horizon Control
Recent work by Chenhao Li, Andreas Krause, and Marco Hutter (ETH Zurich) introduces **Robotic World Model (RWM)** – a learned, recurrent simulator designed to support robust policy learning and sim-to-real tr...