Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning

It is well known that quantifying uncertainty in the action-value estimates is crucial for efficient exploration in reinforcement learning. Ensemble sampling offers a relatively computationally tractable way of doing this using randomized value functions. However, it still requires a huge amount of...

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Hauptverfasser: Tan, Tian, Xiong, Zhihan, Dwaracherla, Vikranth R
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Sprache:eng
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