Tag Archives: RL

Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives

Reinforcement learning (RL) methods greatly help to design general-purpose robotic systems. However, many of them lack efficiency. Current techniques to improve RL methods rely on better optimization or more efficient exploration. A recent paper on arXiv.org proposes another approach. Image credit: Pxhere, CC0 Public Domain The researchers suggest designing primitives with minimal human effort, enabling their expressiveness by parameterizing them ...

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