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Embodied intelligence via learning and evolution

Computer Science

Embodied intelligence via learning and evolution

A. Gupta, S. Savarese, et al.

This research by Agrim Gupta, Silvio Savarese, Surya Ganguli, and Li Fei-Fei introduces Deep Evolutionary Reinforcement Learning (DERL), a framework that evolves agent morphologies for complex tasks. It reveals fascinating connections between environmental complexity, morphological intelligence, and speedier learnability, showcasing how more stable, efficient designs emerge from challenging settings.... show more
Citation Metrics
Citations
15
Influential Citations
32
Reference Count
75
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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