PP-PG: Combining Parameter Perturbation with Policy Gradient Methods for Effective and Efficient Explorations in Deep Reinforcement Learning

Title
PP-PG: Combining Parameter Perturbation with Policy Gradient Methods for Effective and Efficient Explorations in Deep Reinforcement Learning
Authors
Keywords
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Journal
Publisher
Association for Computing Machinery (ACM)
Online
2021-06-04
DOI
10.1145/3452008

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