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Efficiently Initializing Reinforcement Learning With Prior Policies
April 6, 2022, 2:38 p.m. | Google AI (noreply@blogger.com)
Google AI Blog ai.googleblog.com
Reinforcement learning (RL) can be used to train a policy to perform a task via trial and error, but a major challenge in RL is learning policies from scratch in environments with hard exploration challenges. For example, consider the setting depicted in the door-binary-v0 environment from the adroit manipulation suite, where an RL agent must control a hand in 3D space to open a door …
google brain learning prior reinforcement reinforcement learning robotics
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