基于MAXQ方法的分层强化学习 关键词：分层强化学习；MAXQ；MDP [gap=1085]Key words：hierarchical reinforcement learning； IAXQ；bdDP
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多智能体分层强化学习 Multi-agent hierarchical reinforcement learning
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分层强化学习(HRL)是为解决强化学习的维数灾问题而提出的，并取得了显著进展。
Hierarchical reinforcement learning (HRL) was presented to combat the curse of dimensionality, and has made great progresses.
针对未知环境下的移动机器人导航问题，本文提出了一种基于分层式强化学习的混合式控制方法。
According to the problem of mobile robot navigation in the unknown environment, a hybrid control method based on hierarchical reinforcement learning (HRL) is proposed.
分层式强化学习是解决强化学习问题中大规模学习空间问题的一种重要方法。
Hierarchical reinforcement learning is one of the important methods for solving large scale learning space problems.
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