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title
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning
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Reset Free Learning Bootstrapped with Human Data
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Reset Free Learning Bootstrapped with Human Data
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updated
2026-02-18 12:05:55
raw text
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning Demonstration-Bootstrapped Autonomous Practicing scroll down Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning Abhishek Gupta UC Berkeley, Google Brain Corey Lynch Google Brain Brandon Kinman Google Brain Garrett Peake Google Brain Sergey Levine UC Berkeley, Google Brain Karol Hausman Google Brain March 2022 Download PDF Quick Overview The key idea in this work is to leverage a small amount of human-provided data with multi-task reinforcement learning to build a robotic learning system that can continue improving with minimal human intervention required in the training process by practicing autonomously . 1) The human provided data is used to bootstrap a low-level goal reaching policy with offline reinforcement learning. 2) The human data is also used to build a graph that indicates which goals are reachable ...
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