GENERALIZING SKILLS WITH SEMI-SUPERVISED REINFORCEMENT LEARNING

Deep reinforcement learning (RL) can acquire complex behaviors from low-level inputs, such as images. However, real-world applications of such methods require generalizing to the vast variability of the real world.

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Chelsea Finn, Tianhe Yu, Justin Fu, Pieter Abbeel, Sergey Levine (2024). Dataset: GENERALIZING SKILLS WITH SEMI-SUPERVISED REINFORCEMENT LEARNING. https://doi.org/10.57702/tewmevr8

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1612.00429
Author Chelsea Finn
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Tianhe Yu
Justin Fu
Pieter Abbeel
Sergey Levine