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Aug, 2024
深度强化学习中的高效探索:一种新颖的贝叶斯演员-评论家算法
Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm
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Nikolai Rozanov
TL;DR
本研究针对深度强化学习(DRL)中探索效率不足的问题,提出了一种新颖的贝叶斯演员-评论家算法,旨在提升环境的有效探索能力。通过理论研究和实证评估,证明该方法在标准基准和先进评估套件上的优越性,预计将为强化学习社区提供重要的工具和基础。
Abstract
Reinforcement Learning
(RL) and Deep
Reinforcement Learning
(DRL), in particular, have the potential to disrupt and are already changing the way we interact with the world. One of the key indicators of their appl
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